Overview

Dataset statistics

Number of variables170
Number of observations60000
Missing cells849339
Missing cells (%)8.3%
Total size in memory77.8 MiB
Average record size in memory1.3 KiB

Variable types

Text1
Numeric169

Alerts

ab_000 has 46329 (77.2%) missing valuesMissing
ac_000 has 3335 (5.6%) missing valuesMissing
ad_000 has 14861 (24.8%) missing valuesMissing
ae_000 has 2500 (4.2%) missing valuesMissing
af_000 has 2500 (4.2%) missing valuesMissing
ag_000 has 671 (1.1%) missing valuesMissing
ag_001 has 671 (1.1%) missing valuesMissing
ag_002 has 671 (1.1%) missing valuesMissing
ag_003 has 671 (1.1%) missing valuesMissing
ag_004 has 671 (1.1%) missing valuesMissing
ag_005 has 671 (1.1%) missing valuesMissing
ag_006 has 671 (1.1%) missing valuesMissing
ag_007 has 671 (1.1%) missing valuesMissing
ag_008 has 671 (1.1%) missing valuesMissing
ag_009 has 671 (1.1%) missing valuesMissing
ah_000 has 645 (1.1%) missing valuesMissing
ai_000 has 629 (1.0%) missing valuesMissing
aj_000 has 629 (1.0%) missing valuesMissing
ak_000 has 4400 (7.3%) missing valuesMissing
al_000 has 642 (1.1%) missing valuesMissing
am_0 has 629 (1.0%) missing valuesMissing
an_000 has 642 (1.1%) missing valuesMissing
ap_000 has 642 (1.1%) missing valuesMissing
ar_000 has 2723 (4.5%) missing valuesMissing
as_000 has 629 (1.0%) missing valuesMissing
at_000 has 629 (1.0%) missing valuesMissing
au_000 has 629 (1.0%) missing valuesMissing
av_000 has 2500 (4.2%) missing valuesMissing
ax_000 has 2501 (4.2%) missing valuesMissing
ay_000 has 671 (1.1%) missing valuesMissing
ay_001 has 671 (1.1%) missing valuesMissing
ay_002 has 671 (1.1%) missing valuesMissing
ay_003 has 671 (1.1%) missing valuesMissing
ay_004 has 671 (1.1%) missing valuesMissing
ay_005 has 671 (1.1%) missing valuesMissing
ay_006 has 671 (1.1%) missing valuesMissing
ay_007 has 671 (1.1%) missing valuesMissing
ay_008 has 671 (1.1%) missing valuesMissing
ay_009 has 671 (1.1%) missing valuesMissing
az_000 has 671 (1.1%) missing valuesMissing
az_001 has 671 (1.1%) missing valuesMissing
az_002 has 671 (1.1%) missing valuesMissing
az_003 has 671 (1.1%) missing valuesMissing
az_004 has 671 (1.1%) missing valuesMissing
az_005 has 671 (1.1%) missing valuesMissing
az_006 has 671 (1.1%) missing valuesMissing
az_007 has 671 (1.1%) missing valuesMissing
az_008 has 671 (1.1%) missing valuesMissing
az_009 has 671 (1.1%) missing valuesMissing
ba_000 has 688 (1.1%) missing valuesMissing
ba_001 has 688 (1.1%) missing valuesMissing
ba_002 has 688 (1.1%) missing valuesMissing
ba_003 has 688 (1.1%) missing valuesMissing
ba_004 has 688 (1.1%) missing valuesMissing
ba_005 has 688 (1.1%) missing valuesMissing
ba_006 has 688 (1.1%) missing valuesMissing
ba_007 has 688 (1.1%) missing valuesMissing
ba_008 has 688 (1.1%) missing valuesMissing
ba_009 has 688 (1.1%) missing valuesMissing
bb_000 has 645 (1.1%) missing valuesMissing
bc_000 has 2725 (4.5%) missing valuesMissing
bd_000 has 2727 (4.5%) missing valuesMissing
be_000 has 2503 (4.2%) missing valuesMissing
bf_000 has 2500 (4.2%) missing valuesMissing
bg_000 has 642 (1.1%) missing valuesMissing
bh_000 has 642 (1.1%) missing valuesMissing
bk_000 has 23034 (38.4%) missing valuesMissing
bl_000 has 27277 (45.5%) missing valuesMissing
bm_000 has 39549 (65.9%) missing valuesMissing
bn_000 has 44009 (73.3%) missing valuesMissing
bo_000 has 46333 (77.2%) missing valuesMissing
bp_000 has 47740 (79.6%) missing valuesMissing
bq_000 has 48722 (81.2%) missing valuesMissing
br_000 has 49264 (82.1%) missing valuesMissing
bs_000 has 726 (1.2%) missing valuesMissing
bu_000 has 691 (1.2%) missing valuesMissing
bv_000 has 691 (1.2%) missing valuesMissing
bx_000 has 3257 (5.4%) missing valuesMissing
bz_000 has 2723 (4.5%) missing valuesMissing
ca_000 has 4356 (7.3%) missing valuesMissing
cb_000 has 726 (1.2%) missing valuesMissing
cc_000 has 3255 (5.4%) missing valuesMissing
ce_000 has 2502 (4.2%) missing valuesMissing
cf_000 has 14861 (24.8%) missing valuesMissing
cg_000 has 14861 (24.8%) missing valuesMissing
ch_000 has 14861 (24.8%) missing valuesMissing
cl_000 has 9553 (15.9%) missing valuesMissing
cm_000 has 9877 (16.5%) missing valuesMissing
cn_000 has 687 (1.1%) missing valuesMissing
cn_001 has 687 (1.1%) missing valuesMissing
cn_002 has 687 (1.1%) missing valuesMissing
cn_003 has 687 (1.1%) missing valuesMissing
cn_004 has 687 (1.1%) missing valuesMissing
cn_005 has 687 (1.1%) missing valuesMissing
cn_006 has 687 (1.1%) missing valuesMissing
cn_007 has 687 (1.1%) missing valuesMissing
cn_008 has 687 (1.1%) missing valuesMissing
cn_009 has 687 (1.1%) missing valuesMissing
co_000 has 14861 (24.8%) missing valuesMissing
cp_000 has 2724 (4.5%) missing valuesMissing
cq_000 has 691 (1.2%) missing valuesMissing
cr_000 has 46329 (77.2%) missing valuesMissing
cs_000 has 669 (1.1%) missing valuesMissing
cs_001 has 669 (1.1%) missing valuesMissing
cs_002 has 669 (1.1%) missing valuesMissing
cs_003 has 669 (1.1%) missing valuesMissing
cs_004 has 669 (1.1%) missing valuesMissing
cs_005 has 669 (1.1%) missing valuesMissing
cs_006 has 669 (1.1%) missing valuesMissing
cs_007 has 669 (1.1%) missing valuesMissing
cs_008 has 669 (1.1%) missing valuesMissing
cs_009 has 669 (1.1%) missing valuesMissing
ct_000 has 13808 (23.0%) missing valuesMissing
cu_000 has 13808 (23.0%) missing valuesMissing
cv_000 has 13808 (23.0%) missing valuesMissing
cx_000 has 13808 (23.0%) missing valuesMissing
cy_000 has 13808 (23.0%) missing valuesMissing
cz_000 has 13808 (23.0%) missing valuesMissing
da_000 has 13808 (23.0%) missing valuesMissing
db_000 has 13808 (23.0%) missing valuesMissing
dc_000 has 13808 (23.0%) missing valuesMissing
dd_000 has 2503 (4.2%) missing valuesMissing
de_000 has 2724 (4.5%) missing valuesMissing
df_000 has 4008 (6.7%) missing valuesMissing
dg_000 has 4008 (6.7%) missing valuesMissing
dh_000 has 4008 (6.7%) missing valuesMissing
di_000 has 4006 (6.7%) missing valuesMissing
dj_000 has 4007 (6.7%) missing valuesMissing
dk_000 has 4007 (6.7%) missing valuesMissing
dl_000 has 4008 (6.7%) missing valuesMissing
dm_000 has 4009 (6.7%) missing valuesMissing
dn_000 has 691 (1.2%) missing valuesMissing
do_000 has 2724 (4.5%) missing valuesMissing
dp_000 has 2726 (4.5%) missing valuesMissing
dq_000 has 2726 (4.5%) missing valuesMissing
dr_000 has 2726 (4.5%) missing valuesMissing
ds_000 has 2727 (4.5%) missing valuesMissing
dt_000 has 2727 (4.5%) missing valuesMissing
du_000 has 2726 (4.5%) missing valuesMissing
dv_000 has 2726 (4.5%) missing valuesMissing
dx_000 has 2723 (4.5%) missing valuesMissing
dy_000 has 2724 (4.5%) missing valuesMissing
dz_000 has 2723 (4.5%) missing valuesMissing
ea_000 has 2723 (4.5%) missing valuesMissing
eb_000 has 4007 (6.7%) missing valuesMissing
ec_00 has 10239 (17.1%) missing valuesMissing
ed_000 has 9553 (15.9%) missing valuesMissing
ee_000 has 671 (1.1%) missing valuesMissing
ee_001 has 671 (1.1%) missing valuesMissing
ee_002 has 671 (1.1%) missing valuesMissing
ee_003 has 671 (1.1%) missing valuesMissing
ee_004 has 671 (1.1%) missing valuesMissing
ee_005 has 671 (1.1%) missing valuesMissing
ee_006 has 671 (1.1%) missing valuesMissing
ee_007 has 671 (1.1%) missing valuesMissing
ee_008 has 671 (1.1%) missing valuesMissing
ee_009 has 671 (1.1%) missing valuesMissing
ef_000 has 2724 (4.5%) missing valuesMissing
eg_000 has 2723 (4.5%) missing valuesMissing
ab_000 is highly skewed (γ1 = 28.08526616)Skewed
ad_000 is highly skewed (γ1 = 212.4594057)Skewed
ae_000 is highly skewed (γ1 = 90.58825237)Skewed
af_000 is highly skewed (γ1 = 51.67176983)Skewed
ag_000 is highly skewed (γ1 = 153.3875547)Skewed
ag_001 is highly skewed (γ1 = 76.07604881)Skewed
ag_002 is highly skewed (γ1 = 37.02622151)Skewed
ag_003 is highly skewed (γ1 = 23.78791595)Skewed
ag_004 is highly skewed (γ1 = 22.29229013)Skewed
ag_008 is highly skewed (γ1 = 35.67965585)Skewed
ag_009 is highly skewed (γ1 = 98.28898879)Skewed
ai_000 is highly skewed (γ1 = 47.4526515)Skewed
aj_000 is highly skewed (γ1 = 75.07573107)Skewed
ak_000 is highly skewed (γ1 = 113.6254967)Skewed
al_000 is highly skewed (γ1 = 28.89295128)Skewed
am_0 is highly skewed (γ1 = 28.36139997)Skewed
ar_000 is highly skewed (γ1 = 27.90221162)Skewed
as_000 is highly skewed (γ1 = 111.7324277)Skewed
at_000 is highly skewed (γ1 = 57.31679458)Skewed
au_000 is highly skewed (γ1 = 108.9878091)Skewed
av_000 is highly skewed (γ1 = 47.13358323)Skewed
ax_000 is highly skewed (γ1 = 21.80887607)Skewed
ay_000 is highly skewed (γ1 = 59.62148564)Skewed
ay_001 is highly skewed (γ1 = 102.4157577)Skewed
ay_002 is highly skewed (γ1 = 53.64007677)Skewed
ay_003 is highly skewed (γ1 = 40.19520107)Skewed
ay_004 is highly skewed (γ1 = 63.50932195)Skewed
ay_005 is highly skewed (γ1 = 39.04176616)Skewed
ay_007 is highly skewed (γ1 = 21.47072526)Skewed
ay_009 is highly skewed (γ1 = 159.0668368)Skewed
az_000 is highly skewed (γ1 = 69.34748491)Skewed
az_001 is highly skewed (γ1 = 58.30398891)Skewed
az_002 is highly skewed (γ1 = 86.76353514)Skewed
az_003 is highly skewed (γ1 = 32.66392812)Skewed
az_006 is highly skewed (γ1 = 24.83050753)Skewed
az_007 is highly skewed (γ1 = 63.19470008)Skewed
az_008 is highly skewed (γ1 = 62.46105569)Skewed
az_009 is highly skewed (γ1 = 163.6091465)Skewed
ba_008 is highly skewed (γ1 = 53.34524966)Skewed
ba_009 is highly skewed (γ1 = 49.2098809)Skewed
bc_000 is highly skewed (γ1 = 43.26297649)Skewed
bd_000 is highly skewed (γ1 = 23.08196132)Skewed
be_000 is highly skewed (γ1 = 37.84446632)Skewed
bf_000 is highly skewed (γ1 = 40.52196174)Skewed
cf_000 is highly skewed (γ1 = 212.4594074)Skewed
cg_000 is highly skewed (γ1 = 29.61052342)Skewed
ch_000 is highly skewed (γ1 = 67.16546761)Skewed
cj_000 is highly skewed (γ1 = 22.10617672)Skewed
cn_000 is highly skewed (γ1 = 56.63762397)Skewed
cn_001 is highly skewed (γ1 = 28.1940293)Skewed
cn_007 is highly skewed (γ1 = 26.95311766)Skewed
cn_008 is highly skewed (γ1 = 21.50761539)Skewed
cn_009 is highly skewed (γ1 = 101.0758355)Skewed
co_000 is highly skewed (γ1 = 212.4594059)Skewed
cp_000 is highly skewed (γ1 = 39.88949243)Skewed
cr_000 is highly skewed (γ1 = 40.12575497)Skewed
cs_001 is highly skewed (γ1 = 67.9359106)Skewed
cs_007 is highly skewed (γ1 = 140.7322936)Skewed
cs_008 is highly skewed (γ1 = 121.5639164)Skewed
cs_009 is highly skewed (γ1 = 243.5311773)Skewed
ct_000 is highly skewed (γ1 = 107.0310609)Skewed
cu_000 is highly skewed (γ1 = 43.84906245)Skewed
cy_000 is highly skewed (γ1 = 65.34191581)Skewed
cz_000 is highly skewed (γ1 = 55.75708828)Skewed
da_000 is highly skewed (γ1 = 62.92545518)Skewed
db_000 is highly skewed (γ1 = 83.62796061)Skewed
de_000 is highly skewed (γ1 = 37.47732963)Skewed
df_000 is highly skewed (γ1 = 108.938646)Skewed
dg_000 is highly skewed (γ1 = 76.81272658)Skewed
dh_000 is highly skewed (γ1 = 202.9070143)Skewed
di_000 is highly skewed (γ1 = 24.9094282)Skewed
dj_000 is highly skewed (γ1 = 150.5076469)Skewed
dk_000 is highly skewed (γ1 = 49.02245514)Skewed
dl_000 is highly skewed (γ1 = 53.36920211)Skewed
dm_000 is highly skewed (γ1 = 48.89061575)Skewed
dq_000 is highly skewed (γ1 = 35.34327991)Skewed
dy_000 is highly skewed (γ1 = 20.74766284)Skewed
dz_000 is highly skewed (γ1 = 92.41027346)Skewed
ea_000 is highly skewed (γ1 = 91.23055163)Skewed
ee_009 is highly skewed (γ1 = 29.2141353)Skewed
ef_000 is highly skewed (γ1 = 73.43243972)Skewed
eg_000 is highly skewed (γ1 = 89.02948161)Skewed
ab_000 has 10977 (18.3%) zerosZeros
ac_000 has 8752 (14.6%) zerosZeros
ad_000 has 2009 (3.3%) zerosZeros
ae_000 has 55543 (92.6%) zerosZeros
af_000 has 55476 (92.5%) zerosZeros
ag_000 has 59133 (98.6%) zerosZeros
ag_001 has 58587 (97.6%) zerosZeros
ag_002 has 56181 (93.6%) zerosZeros
ag_003 has 46894 (78.2%) zerosZeros
ag_004 has 1305 (2.2%) zerosZeros
ag_005 has 1941 (3.2%) zerosZeros
ag_006 has 1238 (2.1%) zerosZeros
ag_007 has 15875 (26.5%) zerosZeros
ag_008 has 25091 (41.8%) zerosZeros
ag_009 has 40698 (67.8%) zerosZeros
ai_000 has 53588 (89.3%) zerosZeros
aj_000 has 46919 (78.2%) zerosZeros
ak_000 has 55227 (92.0%) zerosZeros
al_000 has 37473 (62.5%) zerosZeros
am_0 has 37295 (62.2%) zerosZeros
ar_000 has 54928 (91.5%) zerosZeros
as_000 has 59350 (98.9%) zerosZeros
at_000 has 53395 (89.0%) zerosZeros
au_000 has 59310 (98.9%) zerosZeros
av_000 has 10008 (16.7%) zerosZeros
ax_000 has 10191 (17.0%) zerosZeros
ay_000 has 58761 (97.9%) zerosZeros
ay_001 has 58192 (97.0%) zerosZeros
ay_002 has 58162 (96.9%) zerosZeros
ay_003 has 58078 (96.8%) zerosZeros
ay_004 has 57158 (95.3%) zerosZeros
ay_005 has 30338 (50.6%) zerosZeros
ay_006 has 16604 (27.7%) zerosZeros
ay_007 has 7432 (12.4%) zerosZeros
ay_008 has 4944 (8.2%) zerosZeros
ay_009 has 58789 (98.0%) zerosZeros
az_000 has 1096 (1.8%) zerosZeros
az_001 has 1458 (2.4%) zerosZeros
az_002 has 1280 (2.1%) zerosZeros
az_003 has 1184 (2.0%) zerosZeros
az_004 has 1147 (1.9%) zerosZeros
az_005 has 1129 (1.9%) zerosZeros
az_006 has 8672 (14.5%) zerosZeros
az_007 has 45094 (75.2%) zerosZeros
az_008 has 54222 (90.4%) zerosZeros
az_009 has 57445 (95.7%) zerosZeros
ba_000 has 1089 (1.8%) zerosZeros
ba_001 has 1139 (1.9%) zerosZeros
ba_002 has 1172 (2.0%) zerosZeros
ba_003 has 1204 (2.0%) zerosZeros
ba_004 has 1236 (2.1%) zerosZeros
ba_005 has 1328 (2.2%) zerosZeros
ba_006 has 1997 (3.3%) zerosZeros
ba_007 has 8038 (13.4%) zerosZeros
ba_008 has 24854 (41.4%) zerosZeros
ba_009 has 39619 (66.0%) zerosZeros
bc_000 has 19296 (32.2%) zerosZeros
bd_000 has 4030 (6.7%) zerosZeros
be_000 has 6951 (11.6%) zerosZeros
bf_000 has 25294 (42.2%) zerosZeros
bl_000 has 1016 (1.7%) zerosZeros
bm_000 has 1214 (2.0%) zerosZeros
bn_000 has 1422 (2.4%) zerosZeros
bo_000 has 1503 (2.5%) zerosZeros
bp_000 has 1612 (2.7%) zerosZeros
bq_000 has 1734 (2.9%) zerosZeros
br_000 has 1813 (3.0%) zerosZeros
by_000 has 1224 (2.0%) zerosZeros
bz_000 has 13841 (23.1%) zerosZeros
cc_000 has 878 (1.5%) zerosZeros
ce_000 has 11845 (19.7%) zerosZeros
cf_000 has 21468 (35.8%) zerosZeros
cg_000 has 2915 (4.9%) zerosZeros
ch_000 has 45129 (75.2%) zerosZeros
cj_000 has 47122 (78.5%) zerosZeros
cl_000 has 36787 (61.3%) zerosZeros
cm_000 has 24215 (40.4%) zerosZeros
cn_000 has 57300 (95.5%) zerosZeros
cn_001 has 50464 (84.1%) zerosZeros
cn_002 has 30538 (50.9%) zerosZeros
cn_003 has 2594 (4.3%) zerosZeros
cn_004 has 1107 (1.8%) zerosZeros
cn_005 has 1175 (2.0%) zerosZeros
cn_006 has 2726 (4.5%) zerosZeros
cn_007 has 9289 (15.5%) zerosZeros
cn_008 has 15387 (25.6%) zerosZeros
cn_009 has 25978 (43.3%) zerosZeros
co_000 has 12793 (21.3%) zerosZeros
cp_000 has 9537 (15.9%) zerosZeros
cr_000 has 13592 (22.7%) zerosZeros
cs_000 has 1090 (1.8%) zerosZeros
cs_001 has 1255 (2.1%) zerosZeros
cs_002 has 1168 (1.9%) zerosZeros
cs_003 has 1205 (2.0%) zerosZeros
cs_004 has 1223 (2.0%) zerosZeros
cs_005 has 1130 (1.9%) zerosZeros
cs_006 has 1122 (1.9%) zerosZeros
cs_007 has 5107 (8.5%) zerosZeros
cs_008 has 14043 (23.4%) zerosZeros
cs_009 has 56427 (94.0%) zerosZeros
ct_000 has 2186 (3.6%) zerosZeros
cu_000 has 2160 (3.6%) zerosZeros
cv_000 has 1029 (1.7%) zerosZeros
cx_000 has 1638 (2.7%) zerosZeros
cy_000 has 39509 (65.8%) zerosZeros
cz_000 has 9114 (15.2%) zerosZeros
da_000 has 45645 (76.1%) zerosZeros
db_000 has 27715 (46.2%) zerosZeros
dc_000 has 1029 (1.7%) zerosZeros
dd_000 has 866 (1.4%) zerosZeros
de_000 has 860 (1.4%) zerosZeros
df_000 has 54930 (91.5%) zerosZeros
dg_000 has 54424 (90.7%) zerosZeros
dh_000 has 49008 (81.7%) zerosZeros
di_000 has 45647 (76.1%) zerosZeros
dj_000 has 55796 (93.0%) zerosZeros
dk_000 has 55675 (92.8%) zerosZeros
dl_000 has 55769 (92.9%) zerosZeros
dm_000 has 55734 (92.9%) zerosZeros
do_000 has 13287 (22.1%) zerosZeros
dp_000 has 12750 (21.2%) zerosZeros
dq_000 has 44404 (74.0%) zerosZeros
dr_000 has 44267 (73.8%) zerosZeros
ds_000 has 2662 (4.4%) zerosZeros
dt_000 has 2551 (4.3%) zerosZeros
du_000 has 3280 (5.5%) zerosZeros
dv_000 has 3278 (5.5%) zerosZeros
dx_000 has 39558 (65.9%) zerosZeros
dy_000 has 36269 (60.4%) zerosZeros
dz_000 has 56984 (95.0%) zerosZeros
ea_000 has 56535 (94.2%) zerosZeros
eb_000 has 21449 (35.7%) zerosZeros
ec_00 has 1276 (2.1%) zerosZeros
ed_000 has 1418 (2.4%) zerosZeros
ee_000 has 1089 (1.8%) zerosZeros
ee_001 has 1157 (1.9%) zerosZeros
ee_002 has 1364 (2.3%) zerosZeros
ee_003 has 1557 (2.6%) zerosZeros
ee_004 has 1797 (3.0%) zerosZeros
ee_005 has 2814 (4.7%) zerosZeros
ee_006 has 4458 (7.4%) zerosZeros
ee_007 has 7898 (13.2%) zerosZeros
ee_008 has 17280 (28.8%) zerosZeros
ee_009 has 31863 (53.1%) zerosZeros
ef_000 has 57021 (95.0%) zerosZeros
eg_000 has 56794 (94.7%) zerosZeros

Reproduction

Analysis started2023-10-29 14:33:08.539002
Analysis finished2023-10-29 14:33:14.813571
Duration6.27 seconds
Software versionydata-profiling vv4.6.1
Download configurationconfig.json

Variables

class
Text

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size468.9 KiB
2023-10-29T14:33:14.896014image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters180000
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowneg
2nd rowneg
3rd rowneg
4th rowneg
5th rowneg
ValueCountFrequency (%)
neg 59000
98.3%
pos 1000
 
1.7%
2023-10-29T14:33:15.334638image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 59000
32.8%
e 59000
32.8%
g 59000
32.8%
p 1000
 
0.6%
o 1000
 
0.6%
s 1000
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 180000
100.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 59000
32.8%
e 59000
32.8%
g 59000
32.8%
p 1000
 
0.6%
o 1000
 
0.6%
s 1000
 
0.6%

Most occurring scripts

ValueCountFrequency (%)
Latin 180000
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 59000
32.8%
e 59000
32.8%
g 59000
32.8%
p 1000
 
0.6%
o 1000
 
0.6%
s 1000
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 180000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n 59000
32.8%
e 59000
32.8%
g 59000
32.8%
p 1000
 
0.6%
o 1000
 
0.6%
s 1000
 
0.6%

aa_000
Real number (ℝ)

Distinct22095
Distinct (%)36.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59336.49957
Minimum0
Maximum2746564
Zeros393
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:33:15.626268image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q1834
median30776
Q348668
95-th percentile221148
Maximum2746564
Range2746564
Interquartile range (IQR)47834

Descriptive statistics

Standard deviation145430.0565
Coefficient of variation (CV)2.450937578
Kurtosis48.29744109
Mean59336.49957
Median Absolute Deviation (MAD)29339
Skewness6.115752484
Sum3560189974
Variance2.114990134 × 1010
MonotonicityNot monotonic
2023-10-29T14:33:15.984780image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 1023
 
1.7%
10 953
 
1.6%
14 920
 
1.5%
12 882
 
1.5%
6 594
 
1.0%
16 568
 
0.9%
18 423
 
0.7%
28 407
 
0.7%
0 393
 
0.7%
30 319
 
0.5%
Other values (22085) 53518
89.2%
ValueCountFrequency (%)
0 393
 
0.7%
2 214
 
0.4%
4 312
 
0.5%
6 594
1.0%
8 1023
1.7%
ValueCountFrequency (%)
2746564 1
< 0.1%
2434708 1
< 0.1%
2316926 1
< 0.1%
2220448 2
< 0.1%
2111010 1
< 0.1%

ab_000
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct29
Distinct (%)0.2%
Missing46329
Missing (%)77.2%
Infinite0
Infinite (%)0.0%
Mean0.7131885012
Minimum0
Maximum204
Zeros10977
Zeros (%)18.3%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:33:16.334803image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum204
Range204
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.478961874
Coefficient of variation (CV)4.878039772
Kurtosis1223.47536
Mean0.7131885012
Median Absolute Deviation (MAD)0
Skewness28.08526616
Sum9750
Variance12.10317572
MonotonicityNot monotonic
2023-10-29T14:33:16.694341image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 10977
 
18.3%
2 1937
 
3.2%
4 420
 
0.7%
6 148
 
0.2%
8 65
 
0.1%
10 35
 
0.1%
12 28
 
< 0.1%
14 12
 
< 0.1%
16 7
 
< 0.1%
24 6
 
< 0.1%
Other values (19) 36
 
0.1%
(Missing) 46329
77.2%
ValueCountFrequency (%)
0 10977
18.3%
2 1937
 
3.2%
4 420
 
0.7%
6 148
 
0.2%
8 65
 
0.1%
ValueCountFrequency (%)
204 1
 
< 0.1%
134 1
 
< 0.1%
100 3
< 0.1%
90 1
 
< 0.1%
68 1
 
< 0.1%

ac_000
Real number (ℝ)

MISSING  ZEROS 

Distinct2061
Distinct (%)3.6%
Missing3335
Missing (%)5.6%
Infinite0
Infinite (%)0.0%
Mean356014263
Minimum0
Maximum2130706796
Zeros8752
Zeros (%)14.6%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:33:17.184782image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q116
median152
Q3964
95-th percentile2130706434
Maximum2130706796
Range2130706796
Interquartile range (IQR)948

Descriptive statistics

Standard deviation794874918.5
Coefficient of variation (CV)2.232705262
Kurtosis1.18571297
Mean356014263
Median Absolute Deviation (MAD)152
Skewness1.784844845
Sum2.017354821 × 1013
Variance6.31826136 × 1017
MonotonicityNot monotonic
2023-10-29T14:33:17.958922image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8752
 
14.6%
2130706432 6188
 
10.3%
2130706434 1227
 
2.0%
4 768
 
1.3%
8 762
 
1.3%
2 756
 
1.3%
6 680
 
1.1%
12 674
 
1.1%
14 661
 
1.1%
16 656
 
1.1%
Other values (2051) 35541
59.2%
(Missing) 3335
 
5.6%
ValueCountFrequency (%)
0 8752
14.6%
2 756
 
1.3%
4 768
 
1.3%
6 680
 
1.1%
8 762
 
1.3%
ValueCountFrequency (%)
2130706796 1
< 0.1%
2130706664 2
< 0.1%
2130706642 1
< 0.1%
2130706634 2
< 0.1%
2130706614 1
< 0.1%

ad_000
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct1886
Distinct (%)4.2%
Missing14861
Missing (%)24.8%
Infinite0
Infinite (%)0.0%
Mean190620.6393
Minimum0
Maximum8584297742
Zeros2009
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:33:18.378591image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q124
median126
Q3430
95-th percentile1566
Maximum8584297742
Range8584297742
Interquartile range (IQR)406

Descriptive statistics

Standard deviation40404411.42
Coefficient of variation (CV)211.9624169
Kurtosis45138.99937
Mean190620.6393
Median Absolute Deviation (MAD)116
Skewness212.4594057
Sum8604425038
Variance1.632516462 × 1015
MonotonicityNot monotonic
2023-10-29T14:33:18.773591image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2009
 
3.3%
2 937
 
1.6%
6 884
 
1.5%
4 875
 
1.5%
8 820
 
1.4%
10 818
 
1.4%
12 782
 
1.3%
16 777
 
1.3%
14 772
 
1.3%
18 737
 
1.2%
Other values (1876) 35728
59.5%
(Missing) 14861
24.8%
ValueCountFrequency (%)
0 2009
3.3%
2 937
1.6%
4 875
1.5%
6 884
1.5%
8 820
1.4%
ValueCountFrequency (%)
8584297742 1
< 0.1%
612266 1
< 0.1%
194868 1
< 0.1%
95266 1
< 0.1%
84106 1
< 0.1%

ae_000
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct333
Distinct (%)0.6%
Missing2500
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean6.819130435
Minimum0
Maximum21050
Zeros55543
Zeros (%)92.6%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:33:19.156152image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum21050
Range21050
Interquartile range (IQR)0

Descriptive statistics

Standard deviation161.5433734
Coefficient of variation (CV)23.68973213
Kurtosis10761.43059
Mean6.819130435
Median Absolute Deviation (MAD)0
Skewness90.58825237
Sum392100
Variance26096.26148
MonotonicityNot monotonic
2023-10-29T14:33:19.538729image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 55543
92.6%
2 601
 
1.0%
4 105
 
0.2%
6 63
 
0.1%
8 60
 
0.1%
10 56
 
0.1%
12 42
 
0.1%
14 37
 
0.1%
18 30
 
0.1%
16 30
 
0.1%
Other values (323) 933
 
1.6%
(Missing) 2500
 
4.2%
ValueCountFrequency (%)
0 55543
92.6%
2 601
 
1.0%
4 105
 
0.2%
6 63
 
0.1%
8 60
 
0.1%
ValueCountFrequency (%)
21050 2
< 0.1%
12048 1
< 0.1%
8332 1
< 0.1%
5386 1
< 0.1%
4726 1
< 0.1%

af_000
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct418
Distinct (%)0.7%
Missing2500
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean11.00681739
Minimum0
Maximum20070
Zeros55476
Zeros (%)92.5%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:33:19.924505image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum20070
Range20070
Interquartile range (IQR)0

Descriptive statistics

Standard deviation209.7925925
Coefficient of variation (CV)19.06024103
Kurtosis3818.524704
Mean11.00681739
Median Absolute Deviation (MAD)0
Skewness51.67176983
Sum632892
Variance44012.93187
MonotonicityNot monotonic
2023-10-29T14:33:20.369049image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 55476
92.5%
2 576
 
1.0%
4 119
 
0.2%
6 75
 
0.1%
12 53
 
0.1%
8 52
 
0.1%
10 46
 
0.1%
14 43
 
0.1%
18 28
 
< 0.1%
30 26
 
< 0.1%
Other values (408) 1006
 
1.7%
(Missing) 2500
 
4.2%
ValueCountFrequency (%)
0 55476
92.5%
2 576
 
1.0%
4 119
 
0.2%
6 75
 
0.1%
8 52
 
0.1%
ValueCountFrequency (%)
20070 2
< 0.1%
13562 1
< 0.1%
11368 1
< 0.1%
11284 1
< 0.1%
9040 1
< 0.1%

ag_000
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct154
Distinct (%)0.3%
Missing671
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean221.6363667
Minimum0
Maximum3376892
Zeros59133
Zeros (%)98.6%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:33:20.814446image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum3376892
Range3376892
Interquartile range (IQR)0

Descriptive statistics

Standard deviation20478.46386
Coefficient of variation (CV)92.39667731
Kurtosis24992.27274
Mean221.6363667
Median Absolute Deviation (MAD)0
Skewness153.3875547
Sum13149464
Variance419367481.9
MonotonicityNot monotonic
2023-10-29T14:33:21.235797image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 59133
98.6%
2 9
 
< 0.1%
11912 5
 
< 0.1%
16186 5
 
< 0.1%
4 5
 
< 0.1%
206 3
 
< 0.1%
360 3
 
< 0.1%
28 3
 
< 0.1%
16 3
 
< 0.1%
12 2
 
< 0.1%
Other values (144) 158
 
0.3%
(Missing) 671
 
1.1%
ValueCountFrequency (%)
0 59133
98.6%
2 9
 
< 0.1%
4 5
 
< 0.1%
6 2
 
< 0.1%
8 2
 
< 0.1%
ValueCountFrequency (%)
3376892 2
< 0.1%
850604 1
< 0.1%
544866 1
< 0.1%
536290 1
< 0.1%
443614 1
< 0.1%

ag_001
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct617
Distinct (%)1.0%
Missing671
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean975.7222606
Minimum0
Maximum4109372
Zeros58587
Zeros (%)97.6%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:33:21.686133image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4109372
Range4109372
Interquartile range (IQR)0

Descriptive statistics

Standard deviation34200.52953
Coefficient of variation (CV)35.05150073
Kurtosis7290.507039
Mean975.7222606
Median Absolute Deviation (MAD)0
Skewness76.07604881
Sum57888626
Variance1169676220
MonotonicityNot monotonic
2023-10-29T14:33:22.175743image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 58587
97.6%
2 9
 
< 0.1%
12 6
 
< 0.1%
530916 5
 
< 0.1%
15166 5
 
< 0.1%
212 4
 
< 0.1%
32 4
 
< 0.1%
26 4
 
< 0.1%
6782 3
 
< 0.1%
1768 3
 
< 0.1%
Other values (607) 699
 
1.2%
(Missing) 671
 
1.1%
ValueCountFrequency (%)
0 58587
97.6%
2 9
 
< 0.1%
4 1
 
< 0.1%
6 1
 
< 0.1%
8 2
 
< 0.1%
ValueCountFrequency (%)
4109372 1
< 0.1%
3708310 1
< 0.1%
2769256 1
< 0.1%
1909708 1
< 0.1%
1767874 1
< 0.1%

ag_002
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct2422
Distinct (%)4.1%
Missing671
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean8606.014529
Minimum0
Maximum10552856
Zeros56181
Zeros (%)93.6%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:33:22.562536image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile120
Maximum10552856
Range10552856
Interquartile range (IQR)0

Descriptive statistics

Standard deviation150322.0285
Coefficient of variation (CV)17.46708979
Kurtosis1772.592327
Mean8606.014529
Median Absolute Deviation (MAD)0
Skewness37.02622151
Sum510586236
Variance2.259671226 × 1010
MonotonicityNot monotonic
2023-10-29T14:33:22.974687image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 56181
93.6%
6 9
 
< 0.1%
342 9
 
< 0.1%
16 8
 
< 0.1%
94 7
 
< 0.1%
82 7
 
< 0.1%
12 7
 
< 0.1%
54 7
 
< 0.1%
24 6
 
< 0.1%
80 6
 
< 0.1%
Other values (2412) 3082
 
5.1%
(Missing) 671
 
1.1%
ValueCountFrequency (%)
0 56181
93.6%
2 5
 
< 0.1%
4 4
 
< 0.1%
6 9
 
< 0.1%
8 6
 
< 0.1%
ValueCountFrequency (%)
10552856 1
< 0.1%
9042380 1
< 0.1%
8718718 1
< 0.1%
8415016 1
< 0.1%
7771682 2
< 0.1%

ag_003
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct7879
Distinct (%)13.3%
Missing671
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean88591.28109
Minimum0
Maximum63402074
Zeros46894
Zeros (%)78.2%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:33:23.314660image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile128382
Maximum63402074
Range63402074
Interquartile range (IQR)0

Descriptive statistics

Standard deviation761731.1905
Coefficient of variation (CV)8.598263633
Kurtosis1116.961994
Mean88591.28109
Median Absolute Deviation (MAD)0
Skewness23.78791595
Sum5256032116
Variance5.802344065 × 1011
MonotonicityNot monotonic
2023-10-29T14:33:23.656214image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 46894
78.2%
2 22
 
< 0.1%
30 22
 
< 0.1%
16 21
 
< 0.1%
22 20
 
< 0.1%
152 19
 
< 0.1%
26 18
 
< 0.1%
24 18
 
< 0.1%
58 17
 
< 0.1%
34 17
 
< 0.1%
Other values (7869) 12261
 
20.4%
(Missing) 671
 
1.1%
ValueCountFrequency (%)
0 46894
78.2%
2 22
 
< 0.1%
4 15
 
< 0.1%
6 7
 
< 0.1%
8 8
 
< 0.1%
ValueCountFrequency (%)
63402074 1
< 0.1%
29047300 1
< 0.1%
26729816 1
< 0.1%
26708652 1
< 0.1%
25374424 1
< 0.1%

ag_004
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct23071
Distinct (%)38.9%
Missing671
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean437096.6324
Minimum0
Maximum228830570
Zeros1305
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:33:24.044610image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile16
Q1308
median3672
Q349522
95-th percentile1748398
Maximum228830570
Range228830570
Interquartile range (IQR)49214

Descriptive statistics

Standard deviation2374281.89
Coefficient of variation (CV)5.43193819
Kurtosis1527.432097
Mean437096.6324
Median Absolute Deviation (MAD)3640
Skewness22.29229013
Sum2.59325061 × 1010
Variance5.637214493 × 1012
MonotonicityNot monotonic
2023-10-29T14:33:24.421374image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1305
 
2.2%
6 294
 
0.5%
2 279
 
0.5%
4 256
 
0.4%
8 235
 
0.4%
10 224
 
0.4%
12 173
 
0.3%
88 171
 
0.3%
94 161
 
0.3%
84 154
 
0.3%
Other values (23061) 56077
93.5%
(Missing) 671
 
1.1%
ValueCountFrequency (%)
0 1305
2.2%
2 279
 
0.5%
4 256
 
0.4%
6 294
 
0.5%
8 235
 
0.4%
ValueCountFrequency (%)
228830570 1
< 0.1%
53962932 1
< 0.1%
52252040 1
< 0.1%
51446956 1
< 0.1%
47528750 1
< 0.1%

ag_005
Real number (ℝ)

MISSING  ZEROS 

Distinct40797
Distinct (%)68.8%
Missing671
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean1108373.83
Minimum0
Maximum179187978
Zeros1941
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:33:24.855200image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile686
Q113834
median176020
Q3913964
95-th percentile4616830
Maximum179187978
Range179187978
Interquartile range (IQR)900130

Descriptive statistics

Standard deviation3262607.274
Coefficient of variation (CV)2.943598256
Kurtosis208.3743662
Mean1108373.83
Median Absolute Deviation (MAD)174234
Skewness9.139142511
Sum6.575871098 × 1010
Variance1.064460622 × 1013
MonotonicityNot monotonic
2023-10-29T14:33:25.286211image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1941
 
3.2%
554 17
 
< 0.1%
1628 11
 
< 0.1%
2590 11
 
< 0.1%
3108 11
 
< 0.1%
1670 11
 
< 0.1%
3576 11
 
< 0.1%
3128 11
 
< 0.1%
1700 11
 
< 0.1%
346 11
 
< 0.1%
Other values (40787) 57283
95.5%
(Missing) 671
 
1.1%
ValueCountFrequency (%)
0 1941
3.2%
2 3
 
< 0.1%
4 1
 
< 0.1%
6 3
 
< 0.1%
8 3
 
< 0.1%
ValueCountFrequency (%)
179187978 1
< 0.1%
71327916 2
< 0.1%
62547628 1
< 0.1%
59828982 1
< 0.1%
53224388 1
< 0.1%

ag_006
Real number (ℝ)

MISSING  ZEROS 

Distinct40615
Distinct (%)68.5%
Missing671
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean1657817.886
Minimum0
Maximum94020666
Zeros1238
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:33:25.726229image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1232
Q110608
median930336
Q31886608
95-th percentile5208096.4
Maximum94020666
Range94020666
Interquartile range (IQR)1876000

Descriptive statistics

Standard deviation3909383.838
Coefficient of variation (CV)2.358150356
Kurtosis94.71835985
Mean1657817.886
Median Absolute Deviation (MAD)921136
Skewness8.272126008
Sum9.835667737 × 1010
Variance1.528328199 × 1013
MonotonicityNot monotonic
2023-10-29T14:33:26.047713image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1238
 
2.1%
1002 19
 
< 0.1%
1046 17
 
< 0.1%
2084 17
 
< 0.1%
1786 16
 
< 0.1%
1028 16
 
< 0.1%
2032 16
 
< 0.1%
1036 15
 
< 0.1%
2204 15
 
< 0.1%
1824 15
 
< 0.1%
Other values (40605) 57945
96.6%
(Missing) 671
 
1.1%
ValueCountFrequency (%)
0 1238
2.1%
10 1
 
< 0.1%
14 1
 
< 0.1%
18 2
 
< 0.1%
26 1
 
< 0.1%
ValueCountFrequency (%)
94020666 1
< 0.1%
77636274 1
< 0.1%
76065940 1
< 0.1%
75433280 1
< 0.1%
75431532 1
< 0.1%

ag_007
Real number (ℝ)

MISSING  ZEROS 

Distinct32125
Distinct (%)54.1%
Missing671
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean499309.8042
Minimum0
Maximum63346754
Zeros15875
Zeros (%)26.5%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:33:26.376501image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median119204
Q3588820
95-th percentile1695458.4
Maximum63346754
Range63346754
Interquartile range (IQR)588820

Descriptive statistics

Standard deviation1422764.513
Coefficient of variation (CV)2.849462399
Kurtosis252.4904658
Mean499309.8042
Median Absolute Deviation (MAD)119204
Skewness12.37836492
Sum2.962355137 × 1010
Variance2.024258859 × 1012
MonotonicityNot monotonic
2023-10-29T14:33:26.718745image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 15875
 
26.5%
10 20
 
< 0.1%
42 20
 
< 0.1%
112 19
 
< 0.1%
4 19
 
< 0.1%
26 18
 
< 0.1%
18 18
 
< 0.1%
30 18
 
< 0.1%
32 18
 
< 0.1%
44 18
 
< 0.1%
Other values (32115) 43286
72.1%
(Missing) 671
 
1.1%
ValueCountFrequency (%)
0 15875
26.5%
2 16
 
< 0.1%
4 19
 
< 0.1%
6 11
 
< 0.1%
8 12
 
< 0.1%
ValueCountFrequency (%)
63346754 1
< 0.1%
45020138 1
< 0.1%
42176360 1
< 0.1%
41528612 1
< 0.1%
39666126 1
< 0.1%

ag_008
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct18932
Distinct (%)31.9%
Missing671
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean35569.89108
Minimum0
Maximum17702522
Zeros25091
Zeros (%)41.8%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:33:27.095847image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1786
Q326690
95-th percentile120787.2
Maximum17702522
Range17702522
Interquartile range (IQR)26690

Descriptive statistics

Standard deviation220152.3501
Coefficient of variation (CV)6.189289406
Kurtosis2072.26741
Mean35569.89108
Median Absolute Deviation (MAD)1786
Skewness35.67965585
Sum2110326068
Variance4.846705723 × 1010
MonotonicityNot monotonic
2023-10-29T14:33:27.774652image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 25091
41.8%
4 47
 
0.1%
82 26
 
< 0.1%
6 22
 
< 0.1%
52 21
 
< 0.1%
30 21
 
< 0.1%
46 21
 
< 0.1%
18 19
 
< 0.1%
2 18
 
< 0.1%
20 18
 
< 0.1%
Other values (18922) 34025
56.7%
(Missing) 671
 
1.1%
ValueCountFrequency (%)
0 25091
41.8%
2 18
 
< 0.1%
4 47
 
0.1%
6 22
 
< 0.1%
8 18
 
< 0.1%
ValueCountFrequency (%)
17702522 1
< 0.1%
16926584 1
< 0.1%
15900702 1
< 0.1%
9873990 1
< 0.1%
8164710 1
< 0.1%

ag_009
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct5355
Distinct (%)9.0%
Missing671
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean5114.753156
Minimum0
Maximum25198514
Zeros40698
Zeros (%)67.8%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:33:28.144553image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3364
95-th percentile8286
Maximum25198514
Range25198514
Interquartile range (IQR)364

Descriptive statistics

Standard deviation169658.1687
Coefficient of variation (CV)33.17035319
Kurtosis11843.96633
Mean5114.753156
Median Absolute Deviation (MAD)0
Skewness98.28898879
Sum303453190
Variance2.87838942 × 1010
MonotonicityNot monotonic
2023-10-29T14:33:28.535884image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 40698
67.8%
4 127
 
0.2%
2 81
 
0.1%
6 59
 
0.1%
8 53
 
0.1%
12 44
 
0.1%
44 41
 
0.1%
18 40
 
0.1%
72 40
 
0.1%
48 38
 
0.1%
Other values (5345) 18108
30.2%
(Missing) 671
 
1.1%
ValueCountFrequency (%)
0 40698
67.8%
2 81
 
0.1%
4 127
 
0.2%
6 59
 
0.1%
8 53
 
0.1%
ValueCountFrequency (%)
25198514 1
< 0.1%
18336298 1
< 0.1%
12471754 1
< 0.1%
12176138 1
< 0.1%
10702890 1
< 0.1%

ah_000
Real number (ℝ)

MISSING 

Distinct43571
Distinct (%)73.4%
Missing645
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean1809931.176
Minimum0
Maximum74247318
Zeros133
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:33:28.944665image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1820
Q129733
median1002420
Q31601366
95-th percentile6764077.6
Maximum74247318
Range74247318
Interquartile range (IQR)1571633

Descriptive statistics

Standard deviation4185740.134
Coefficient of variation (CV)2.312651547
Kurtosis38.06354054
Mean1809931.176
Median Absolute Deviation (MAD)955124
Skewness5.534549192
Sum1.07428465 × 1011
Variance1.752042047 × 1013
MonotonicityNot monotonic
2023-10-29T14:33:29.314721image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 133
 
0.2%
1868 14
 
< 0.1%
2196 13
 
< 0.1%
2608 13
 
< 0.1%
1974 13
 
< 0.1%
2742 13
 
< 0.1%
1620 12
 
< 0.1%
1436 12
 
< 0.1%
1950 12
 
< 0.1%
1534 12
 
< 0.1%
Other values (43561) 59108
98.5%
(Missing) 645
 
1.1%
ValueCountFrequency (%)
0 133
0.2%
2 1
 
< 0.1%
10 1
 
< 0.1%
12 1
 
< 0.1%
16 1
 
< 0.1%
ValueCountFrequency (%)
74247318 1
< 0.1%
58914854 1
< 0.1%
56953350 1
< 0.1%
54647980 1
< 0.1%
53165264 1
< 0.1%

ai_000
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct4055
Distinct (%)6.8%
Missing629
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean9016.965421
Minimum0
Maximum16512852
Zeros53588
Zeros (%)89.3%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:33:29.690566image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7690
Maximum16512852
Range16512852
Interquartile range (IQR)0

Descriptive statistics

Standard deviation163277.8457
Coefficient of variation (CV)18.10784871
Kurtosis3139.281843
Mean9016.965421
Median Absolute Deviation (MAD)0
Skewness47.4526515
Sum535346254
Variance2.665965489 × 1010
MonotonicityNot monotonic
2023-10-29T14:33:30.058606image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 53588
89.3%
3618 7
 
< 0.1%
1200 7
 
< 0.1%
1444 6
 
< 0.1%
1254 6
 
< 0.1%
3418 6
 
< 0.1%
864 6
 
< 0.1%
766 6
 
< 0.1%
1604 6
 
< 0.1%
46310 5
 
< 0.1%
Other values (4045) 5728
 
9.5%
(Missing) 629
 
1.0%
ValueCountFrequency (%)
0 53588
89.3%
18 1
 
< 0.1%
44 1
 
< 0.1%
58 1
 
< 0.1%
116 1
 
< 0.1%
ValueCountFrequency (%)
16512852 1
< 0.1%
10552482 1
< 0.1%
9329134 1
< 0.1%
9233054 1
< 0.1%
9194786 1
< 0.1%

aj_000
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct894
Distinct (%)1.5%
Missing629
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean1143.674791
Minimum0
Maximum5629340
Zeros46919
Zeros (%)78.2%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:33:30.379436image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile218
Maximum5629340
Range5629340
Interquartile range (IQR)0

Descriptive statistics

Standard deviation50359.70874
Coefficient of variation (CV)44.03324193
Kurtosis6478.928972
Mean1143.674791
Median Absolute Deviation (MAD)0
Skewness75.07573107
Sum67901116
Variance2536100265
MonotonicityNot monotonic
2023-10-29T14:33:30.674608image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 46919
78.2%
58 330
 
0.5%
54 297
 
0.5%
56 280
 
0.5%
52 255
 
0.4%
60 253
 
0.4%
64 201
 
0.3%
62 199
 
0.3%
34 197
 
0.3%
50 181
 
0.3%
Other values (884) 10259
 
17.1%
(Missing) 629
 
1.0%
ValueCountFrequency (%)
0 46919
78.2%
2 7
 
< 0.1%
4 19
 
< 0.1%
6 19
 
< 0.1%
8 24
 
< 0.1%
ValueCountFrequency (%)
5629340 1
< 0.1%
4262892 2
< 0.1%
3939268 1
< 0.1%
3913164 2
< 0.1%
2637948 1
< 0.1%

ak_000
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct159
Distinct (%)0.3%
Missing4400
Missing (%)7.3%
Infinite0
Infinite (%)0.0%
Mean979.489964
Minimum0
Maximum10444924
Zeros55227
Zeros (%)92.0%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:33:30.995997image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum10444924
Range10444924
Interquartile range (IQR)0

Descriptive statistics

Standard deviation75831.61887
Coefficient of variation (CV)77.41949551
Kurtosis14366.28692
Mean979.489964
Median Absolute Deviation (MAD)0
Skewness113.6254967
Sum54459642
Variance5750434421
MonotonicityNot monotonic
2023-10-29T14:33:31.316219image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 55227
92.0%
598 129
 
0.2%
596 25
 
< 0.1%
1196 15
 
< 0.1%
1198 6
 
< 0.1%
1794 5
 
< 0.1%
34852 4
 
< 0.1%
2840 3
 
< 0.1%
9152 3
 
< 0.1%
9994 3
 
< 0.1%
Other values (149) 180
 
0.3%
(Missing) 4400
 
7.3%
ValueCountFrequency (%)
0 55227
92.0%
54 1
 
< 0.1%
66 1
 
< 0.1%
80 1
 
< 0.1%
98 1
 
< 0.1%
ValueCountFrequency (%)
10444924 2
< 0.1%
5967186 1
< 0.1%
5952160 1
< 0.1%
2289762 1
< 0.1%
1968058 2
< 0.1%

al_000
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct9017
Distinct (%)15.2%
Missing642
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean59130.47559
Minimum0
Maximum34762578
Zeros37473
Zeros (%)62.5%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:33:31.624655image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31204
95-th percentile141410
Maximum34762578
Range34762578
Interquartile range (IQR)1204

Descriptive statistics

Standard deviation539465.8149
Coefficient of variation (CV)9.123312632
Kurtosis1246.18627
Mean59130.47559
Median Absolute Deviation (MAD)0
Skewness28.89295128
Sum3509866770
Variance2.910233654 × 1011
MonotonicityNot monotonic
2023-10-29T14:33:31.946141image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 37473
62.5%
54 52
 
0.1%
158 38
 
0.1%
178 34
 
0.1%
130 32
 
0.1%
176 31
 
0.1%
184 29
 
< 0.1%
170 28
 
< 0.1%
136 27
 
< 0.1%
132 27
 
< 0.1%
Other values (9007) 21587
36.0%
(Missing) 642
 
1.1%
ValueCountFrequency (%)
0 37473
62.5%
2 3
 
< 0.1%
4 10
 
< 0.1%
6 4
 
< 0.1%
8 10
 
< 0.1%
ValueCountFrequency (%)
34762578 1
< 0.1%
33591360 1
< 0.1%
28141842 1
< 0.1%
25348802 2
< 0.1%
24170606 1
< 0.1%

am_0
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct10582
Distinct (%)17.8%
Missing629
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean93281.33183
Minimum0
Maximum55903508
Zeros37295
Zeros (%)62.2%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:33:32.263800image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32364
95-th percentile223727
Maximum55903508
Range55903508
Interquartile range (IQR)2364

Descriptive statistics

Standard deviation849469.3932
Coefficient of variation (CV)9.10653157
Kurtosis1194.867149
Mean93281.33183
Median Absolute Deviation (MAD)0
Skewness28.36139997
Sum5538205952
Variance7.2159825 × 1011
MonotonicityNot monotonic
2023-10-29T14:33:32.576268image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 37295
62.2%
1196 70
 
0.1%
1192 49
 
0.1%
240 47
 
0.1%
236 47
 
0.1%
238 44
 
0.1%
1184 42
 
0.1%
1190 42
 
0.1%
1182 41
 
0.1%
232 39
 
0.1%
Other values (10572) 21655
36.1%
(Missing) 629
 
1.0%
ValueCountFrequency (%)
0 37295
62.2%
8 3
 
< 0.1%
10 2
 
< 0.1%
12 2
 
< 0.1%
14 5
 
< 0.1%
ValueCountFrequency (%)
55903508 1
< 0.1%
48236658 1
< 0.1%
40946186 2
< 0.1%
40329754 1
< 0.1%
38265592 1
< 0.1%

an_000
Real number (ℝ)

MISSING 

Distinct48204
Distinct (%)81.2%
Missing642
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean3461037.043
Minimum0
Maximum140861830
Zeros129
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:33:32.954811image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8553.4
Q173238.5
median1918629
Q33128415.5
95-th percentile12671611.7
Maximum140861830
Range140861830
Interquartile range (IQR)3055177

Descriptive statistics

Standard deviation7790349.729
Coefficient of variation (CV)2.250871525
Kurtosis39.40827247
Mean3461037.043
Median Absolute Deviation (MAD)1809694
Skewness5.56864036
Sum2.054402368 × 1011
Variance6.068954889 × 1013
MonotonicityNot monotonic
2023-10-29T14:33:33.384438image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 129
 
0.2%
8756 7
 
< 0.1%
11742 7
 
< 0.1%
16230962 7
 
< 0.1%
12838 7
 
< 0.1%
10490 7
 
< 0.1%
8960 6
 
< 0.1%
9474 6
 
< 0.1%
14866 6
 
< 0.1%
12024 6
 
< 0.1%
Other values (48194) 59170
98.6%
(Missing) 642
 
1.1%
ValueCountFrequency (%)
0 129
0.2%
24 1
 
< 0.1%
42 1
 
< 0.1%
46 1
 
< 0.1%
54 1
 
< 0.1%
ValueCountFrequency (%)
140861830 1
< 0.1%
111186842 1
< 0.1%
105349210 1
< 0.1%
105312706 1
< 0.1%
103756936 1
< 0.1%

ao_000
Real number (ℝ)

Distinct47723
Distinct (%)80.3%
Missing589
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean3002440.307
Minimum0
Maximum122201822
Zeros140
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:33:33.794457image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6157
Q165585
median1643556
Q32675796
95-th percentile11045103
Maximum122201822
Range122201822
Interquartile range (IQR)2610211

Descriptive statistics

Standard deviation6819518.391
Coefficient of variation (CV)2.27132522
Kurtosis41.33756568
Mean3002440.307
Median Absolute Deviation (MAD)1547168
Skewness5.668929157
Sum1.783779811 × 1011
Variance4.650583108 × 1013
MonotonicityNot monotonic
2023-10-29T14:33:34.228008image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 140
 
0.2%
6622 7
 
< 0.1%
4492 7
 
< 0.1%
7122 7
 
< 0.1%
13692914 7
 
< 0.1%
4294 7
 
< 0.1%
9890 7
 
< 0.1%
3992 7
 
< 0.1%
12 6
 
< 0.1%
7484 6
 
< 0.1%
Other values (47713) 59210
98.7%
(Missing) 589
 
1.0%
ValueCountFrequency (%)
0 140
0.2%
2 5
 
< 0.1%
4 3
 
< 0.1%
6 1
 
< 0.1%
8 1
 
< 0.1%
ValueCountFrequency (%)
122201822 1
< 0.1%
99564486 1
< 0.1%
99367104 1
< 0.1%
99069442 1
< 0.1%
95636860 1
< 0.1%

ap_000
Real number (ℝ)

MISSING 

Distinct44672
Distinct (%)75.3%
Missing642
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean1004159.557
Minimum0
Maximum77934944
Zeros113
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:33:34.659845image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6866
Q125189
median357281
Q3724660.5
95-th percentile3495623.2
Maximum77934944
Range77934944
Interquartile range (IQR)699471.5

Descriptive statistics

Standard deviation3088457.035
Coefficient of variation (CV)3.075663636
Kurtosis81.67357396
Mean1004159.557
Median Absolute Deviation (MAD)334622
Skewness7.807262184
Sum5.960490298 × 1010
Variance9.538566854 × 1012
MonotonicityNot monotonic
2023-10-29T14:33:35.094947image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 113
 
0.2%
7456 9
 
< 0.1%
8080 9
 
< 0.1%
11886 8
 
< 0.1%
6276 8
 
< 0.1%
10982 8
 
< 0.1%
8408 8
 
< 0.1%
13772 7
 
< 0.1%
14860 7
 
< 0.1%
31576 7
 
< 0.1%
Other values (44662) 59174
98.6%
(Missing) 642
 
1.1%
ValueCountFrequency (%)
0 113
0.2%
4 1
 
< 0.1%
8 1
 
< 0.1%
34 2
 
< 0.1%
50 1
 
< 0.1%
ValueCountFrequency (%)
77934944 1
< 0.1%
64721374 1
< 0.1%
59926166 1
< 0.1%
53160164 1
< 0.1%
51949850 1
< 0.1%

aq_000
Real number (ℝ)

Distinct34921
Distinct (%)58.8%
Missing589
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean442404.4643
Minimum0
Maximum25562646
Zeros230
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:33:35.534333image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile378
Q14161
median178792
Q3376900
95-th percentile1525192
Maximum25562646
Range25562646
Interquartile range (IQR)372739

Descriptive statistics

Standard deviation1262468.895
Coefficient of variation (CV)2.853653153
Kurtosis83.41271212
Mean442404.4643
Median Absolute Deviation (MAD)175296
Skewness7.877838199
Sum2.628369163 × 1010
Variance1.59382771 × 1012
MonotonicityNot monotonic
2023-10-29T14:33:35.954510image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 230
 
0.4%
336 28
 
< 0.1%
364 26
 
< 0.1%
398 26
 
< 0.1%
600 25
 
< 0.1%
500 25
 
< 0.1%
510 25
 
< 0.1%
404 25
 
< 0.1%
544 24
 
< 0.1%
358 24
 
< 0.1%
Other values (34911) 58953
98.3%
(Missing) 589
 
1.0%
ValueCountFrequency (%)
0 230
0.4%
2 1
 
< 0.1%
4 1
 
< 0.1%
6 1
 
< 0.1%
8 14
 
< 0.1%
ValueCountFrequency (%)
25562646 1
< 0.1%
24434364 1
< 0.1%
23601816 1
< 0.1%
23380000 1
< 0.1%
22965366 1
< 0.1%

ar_000
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct68
Distinct (%)0.1%
Missing2723
Missing (%)4.5%
Infinite0
Infinite (%)0.0%
Mean0.4969184839
Minimum0
Maximum350
Zeros54928
Zeros (%)91.5%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:33:36.354417image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum350
Range350
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.511653188
Coefficient of variation (CV)11.09166466
Kurtosis1140.621969
Mean0.4969184839
Median Absolute Deviation (MAD)0
Skewness27.90221162
Sum28462
Variance30.37832087
MonotonicityNot monotonic
2023-10-29T14:33:36.764406image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 54928
91.5%
2 815
 
1.4%
4 412
 
0.7%
6 266
 
0.4%
8 173
 
0.3%
12 101
 
0.2%
10 88
 
0.1%
14 63
 
0.1%
18 50
 
0.1%
16 45
 
0.1%
Other values (58) 336
 
0.6%
(Missing) 2723
 
4.5%
ValueCountFrequency (%)
0 54928
91.5%
2 815
 
1.4%
4 412
 
0.7%
6 266
 
0.4%
8 173
 
0.3%
ValueCountFrequency (%)
350 2
< 0.1%
252 1
< 0.1%
244 2
< 0.1%
222 1
< 0.1%
218 1
< 0.1%

as_000
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct21
Distinct (%)< 0.1%
Missing629
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean126.7365212
Minimum0
Maximum1655240
Zeros59350
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:33:37.148097image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1655240
Range1655240
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11010.04175
Coefficient of variation (CV)86.87347298
Kurtosis13957.1324
Mean126.7365212
Median Absolute Deviation (MAD)0
Skewness111.7324277
Sum7524474
Variance121221019.3
MonotonicityNot monotonic
2023-10-29T14:33:37.476077image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 59350
98.9%
13752 2
 
< 0.1%
63712 1
 
< 0.1%
1150508 1
 
< 0.1%
489122 1
 
< 0.1%
790 1
 
< 0.1%
1246190 1
 
< 0.1%
693990 1
 
< 0.1%
4 1
 
< 0.1%
368184 1
 
< 0.1%
Other values (11) 11
 
< 0.1%
(Missing) 629
 
1.0%
ValueCountFrequency (%)
0 59350
98.9%
4 1
 
< 0.1%
790 1
 
< 0.1%
1156 1
 
< 0.1%
6268 1
 
< 0.1%
ValueCountFrequency (%)
1655240 1
< 0.1%
1246190 1
< 0.1%
1150508 1
< 0.1%
693990 1
< 0.1%
647060 1
< 0.1%

at_000
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct3511
Distinct (%)5.9%
Missing629
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean5072.046285
Minimum0
Maximum10400504
Zeros53395
Zeros (%)89.0%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:33:37.885960image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3710
Maximum10400504
Range10400504
Interquartile range (IQR)0

Descriptive statistics

Standard deviation119615.9376
Coefficient of variation (CV)23.58336871
Kurtosis3946.299945
Mean5072.046285
Median Absolute Deviation (MAD)0
Skewness57.31679458
Sum301132460
Variance1.430797254 × 1010
MonotonicityNot monotonic
2023-10-29T14:33:38.614897image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 53395
89.0%
756 15
 
< 0.1%
686 12
 
< 0.1%
1014 11
 
< 0.1%
410 10
 
< 0.1%
792 9
 
< 0.1%
474 9
 
< 0.1%
364 9
 
< 0.1%
1658 9
 
< 0.1%
492 8
 
< 0.1%
Other values (3501) 5884
 
9.8%
(Missing) 629
 
1.0%
ValueCountFrequency (%)
0 53395
89.0%
6 2
 
< 0.1%
8 1
 
< 0.1%
26 1
 
< 0.1%
38 1
 
< 0.1%
ValueCountFrequency (%)
10400504 1
 
< 0.1%
9237250 3
< 0.1%
8055026 1
 
< 0.1%
7869774 1
 
< 0.1%
6309640 1
 
< 0.1%

au_000
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct56
Distinct (%)0.1%
Missing629
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean230.5803844
Minimum0
Maximum2626676
Zeros59310
Zeros (%)98.9%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:33:38.928970image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2626676
Range2626676
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15799.52215
Coefficient of variation (CV)68.52066881
Kurtosis14943.3618
Mean230.5803844
Median Absolute Deviation (MAD)0
Skewness108.9878091
Sum13689788
Variance249624900.2
MonotonicityNot monotonic
2023-10-29T14:33:39.236367image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 59310
98.9%
249166 3
 
< 0.1%
37936 2
 
< 0.1%
1324 2
 
< 0.1%
2376 2
 
< 0.1%
205016 2
 
< 0.1%
5488 1
 
< 0.1%
26212 1
 
< 0.1%
588396 1
 
< 0.1%
10082 1
 
< 0.1%
Other values (46) 46
 
0.1%
(Missing) 629
 
1.0%
ValueCountFrequency (%)
0 59310
98.9%
12 1
 
< 0.1%
466 1
 
< 0.1%
804 1
 
< 0.1%
846 1
 
< 0.1%
ValueCountFrequency (%)
2626676 1
< 0.1%
1299622 1
< 0.1%
1134798 1
< 0.1%
1094074 1
< 0.1%
862024 1
< 0.1%

av_000
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct3860
Distinct (%)6.7%
Missing2500
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean1117.825913
Minimum0
Maximum794458
Zeros10008
Zeros (%)16.7%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:33:39.544567image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q112
median116
Q3646
95-th percentile4106
Maximum794458
Range794458
Interquartile range (IQR)634

Descriptive statistics

Standard deviation6598.611557
Coefficient of variation (CV)5.903076212
Kurtosis4221.151418
Mean1117.825913
Median Absolute Deviation (MAD)116
Skewness47.13358323
Sum64274990
Variance43541674.48
MonotonicityNot monotonic
2023-10-29T14:33:39.874475image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10008
 
16.7%
4 903
 
1.5%
6 854
 
1.4%
12 841
 
1.4%
10 841
 
1.4%
2 837
 
1.4%
8 829
 
1.4%
16 741
 
1.2%
14 730
 
1.2%
22 622
 
1.0%
Other values (3850) 40294
67.2%
(Missing) 2500
 
4.2%
ValueCountFrequency (%)
0 10008
16.7%
2 837
 
1.4%
4 903
 
1.5%
6 854
 
1.4%
8 829
 
1.4%
ValueCountFrequency (%)
794458 1
< 0.1%
362492 1
< 0.1%
325714 1
< 0.1%
297414 1
< 0.1%
264378 1
< 0.1%

ax_000
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct2215
Distinct (%)3.9%
Missing2501
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean374.3273796
Minimum0
Maximum116652
Zeros10191
Zeros (%)17.0%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:33:40.186204image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110
median66
Q3263
95-th percentile1506
Maximum116652
Range116652
Interquartile range (IQR)253

Descriptive statistics

Standard deviation1482.711621
Coefficient of variation (CV)3.961002325
Kurtosis984.5104677
Mean374.3273796
Median Absolute Deviation (MAD)66
Skewness21.80887607
Sum21523450
Variance2198433.751
MonotonicityNot monotonic
2023-10-29T14:33:40.504581image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10191
 
17.0%
6 914
 
1.5%
4 913
 
1.5%
10 861
 
1.4%
2 826
 
1.4%
8 817
 
1.4%
12 809
 
1.3%
14 789
 
1.3%
16 731
 
1.2%
22 715
 
1.2%
Other values (2205) 39933
66.6%
(Missing) 2501
 
4.2%
ValueCountFrequency (%)
0 10191
17.0%
2 826
 
1.4%
4 913
 
1.5%
6 914
 
1.5%
8 817
 
1.4%
ValueCountFrequency (%)
116652 1
< 0.1%
59586 1
< 0.1%
57772 1
< 0.1%
50742 1
< 0.1%
50544 1
< 0.1%

ay_000
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct466
Distinct (%)0.8%
Missing671
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean12211.648
Minimum0
Maximum50553892
Zeros58761
Zeros (%)97.9%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:33:40.819666image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum50553892
Range50553892
Interquartile range (IQR)0

Descriptive statistics

Standard deviation454496.3275
Coefficient of variation (CV)37.21826306
Kurtosis4560.7773
Mean12211.648
Median Absolute Deviation (MAD)0
Skewness59.62148564
Sum724504864
Variance2.065669117 × 1011
MonotonicityNot monotonic
2023-10-29T14:33:41.128630image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 58761
97.9%
2 12
 
< 0.1%
36276 4
 
< 0.1%
31414 3
 
< 0.1%
35618 3
 
< 0.1%
35602 3
 
< 0.1%
29412 3
 
< 0.1%
3886870 3
 
< 0.1%
33046 3
 
< 0.1%
33304 3
 
< 0.1%
Other values (456) 531
 
0.9%
(Missing) 671
 
1.1%
ValueCountFrequency (%)
0 58761
97.9%
2 12
 
< 0.1%
4 2
 
< 0.1%
8 2
 
< 0.1%
12 1
 
< 0.1%
ValueCountFrequency (%)
50553892 1
< 0.1%
34073614 1
< 0.1%
30963874 1
< 0.1%
29705862 1
< 0.1%
25290436 1
< 0.1%

ay_001
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct919
Distinct (%)1.5%
Missing671
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean10190.1188
Minimum0
Maximum80525378
Zeros58192
Zeros (%)97.0%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:33:41.435116image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum80525378
Range80525378
Interquartile range (IQR)0

Descriptive statistics

Standard deviation535270.6752
Coefficient of variation (CV)52.52840383
Kurtosis12629.39676
Mean10190.1188
Median Absolute Deviation (MAD)0
Skewness102.4157577
Sum604569558
Variance2.865146957 × 1011
MonotonicityNot monotonic
2023-10-29T14:33:41.762865image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 58192
97.0%
664 5
 
< 0.1%
1188 4
 
< 0.1%
1358 4
 
< 0.1%
2736 4
 
< 0.1%
942 4
 
< 0.1%
1422 3
 
< 0.1%
17626 3
 
< 0.1%
13296 3
 
< 0.1%
14894 3
 
< 0.1%
Other values (909) 1104
 
1.8%
(Missing) 671
 
1.1%
ValueCountFrequency (%)
0 58192
97.0%
2 2
 
< 0.1%
4 1
 
< 0.1%
6 2
 
< 0.1%
10 1
 
< 0.1%
ValueCountFrequency (%)
80525378 1
< 0.1%
58389562 1
< 0.1%
45681214 1
< 0.1%
39585320 1
< 0.1%
26862750 1
< 0.1%

ay_002
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct986
Distinct (%)1.7%
Missing671
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean10974.99799
Minimum0
Maximum28474838
Zeros58162
Zeros (%)96.9%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:33:42.063255image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum28474838
Range28474838
Interquartile range (IQR)0

Descriptive statistics

Standard deviation428336.9588
Coefficient of variation (CV)39.02843162
Kurtosis3065.671175
Mean10974.99799
Median Absolute Deviation (MAD)0
Skewness53.64007677
Sum651135656
Variance1.834725502 × 1011
MonotonicityNot monotonic
2023-10-29T14:33:42.346026image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 58162
96.9%
4220 4
 
< 0.1%
8284 4
 
< 0.1%
7638 3
 
< 0.1%
49876 3
 
< 0.1%
7554 3
 
< 0.1%
10056 3
 
< 0.1%
10396 3
 
< 0.1%
10250 3
 
< 0.1%
9764 3
 
< 0.1%
Other values (976) 1138
 
1.9%
(Missing) 671
 
1.1%
ValueCountFrequency (%)
0 58162
96.9%
1676 1
 
< 0.1%
1886 1
 
< 0.1%
3310 1
 
< 0.1%
3638 1
 
< 0.1%
ValueCountFrequency (%)
28474838 1
< 0.1%
26283758 1
< 0.1%
26260220 1
< 0.1%
26057560 1
< 0.1%
26034002 1
< 0.1%

ay_003
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct1032
Distinct (%)1.7%
Missing671
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean7225.783883
Minimum0
Maximum13945170
Zeros58078
Zeros (%)96.8%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:33:42.664761image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum13945170
Range13945170
Interquartile range (IQR)0

Descriptive statistics

Standard deviation206467.8753
Coefficient of variation (CV)28.57376842
Kurtosis1835.349327
Mean7225.783883
Median Absolute Deviation (MAD)0
Skewness40.19520107
Sum428698532
Variance4.262898354 × 1010
MonotonicityNot monotonic
2023-10-29T14:33:42.984614image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 58078
96.8%
17278 5
 
< 0.1%
13998 5
 
< 0.1%
5388 4
 
< 0.1%
1314 4
 
< 0.1%
15680 4
 
< 0.1%
28800 3
 
< 0.1%
15914 3
 
< 0.1%
15658 3
 
< 0.1%
29174 3
 
< 0.1%
Other values (1022) 1217
 
2.0%
(Missing) 671
 
1.1%
ValueCountFrequency (%)
0 58078
96.8%
2 1
 
< 0.1%
48 1
 
< 0.1%
134 1
 
< 0.1%
226 1
 
< 0.1%
ValueCountFrequency (%)
13945170 1
< 0.1%
11439526 1
< 0.1%
10837368 1
< 0.1%
9973768 1
< 0.1%
9962608 1
< 0.1%

ay_004
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct1767
Distinct (%)3.0%
Missing671
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean10566.0004
Minimum0
Maximum40028704
Zeros57158
Zeros (%)95.3%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:33:43.296154image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum40028704
Range40028704
Interquartile range (IQR)0

Descriptive statistics

Standard deviation354625.8206
Coefficient of variation (CV)33.56291946
Kurtosis5289.337929
Mean10566.0004
Median Absolute Deviation (MAD)0
Skewness63.50932195
Sum626870238
Variance1.257594727 × 1011
MonotonicityNot monotonic
2023-10-29T14:33:43.634466image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 57158
95.3%
2 5
 
< 0.1%
1352 5
 
< 0.1%
32 5
 
< 0.1%
6956 5
 
< 0.1%
7550 5
 
< 0.1%
9494 4
 
< 0.1%
6152 4
 
< 0.1%
41352 4
 
< 0.1%
232 4
 
< 0.1%
Other values (1757) 2130
 
3.5%
(Missing) 671
 
1.1%
ValueCountFrequency (%)
0 57158
95.3%
2 5
 
< 0.1%
4 1
 
< 0.1%
6 3
 
< 0.1%
8 3
 
< 0.1%
ValueCountFrequency (%)
40028704 1
< 0.1%
30868706 2
< 0.1%
19688640 1
< 0.1%
14266356 1
< 0.1%
12890732 1
< 0.1%

ay_005
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct19696
Distinct (%)33.2%
Missing671
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean111979.114
Minimum0
Maximum124948914
Zeros30338
Zeros (%)50.6%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:33:43.964780image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q340132
95-th percentile260567.6
Maximum124948914
Range124948914
Interquartile range (IQR)40132

Descriptive statistics

Standard deviation1394585.22
Coefficient of variation (CV)12.4539762
Kurtosis2167.441343
Mean111979.114
Median Absolute Deviation (MAD)0
Skewness39.04176616
Sum6643608852
Variance1.944867936 × 1012
MonotonicityNot monotonic
2023-10-29T14:33:44.294408image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 30338
50.6%
2 18
 
< 0.1%
54 11
 
< 0.1%
96 11
 
< 0.1%
186 11
 
< 0.1%
86 10
 
< 0.1%
1446 9
 
< 0.1%
126 9
 
< 0.1%
7374 8
 
< 0.1%
40644 8
 
< 0.1%
Other values (19686) 28896
48.2%
(Missing) 671
 
1.1%
ValueCountFrequency (%)
0 30338
50.6%
2 18
 
< 0.1%
4 5
 
< 0.1%
6 4
 
< 0.1%
8 5
 
< 0.1%
ValueCountFrequency (%)
124948914 1
< 0.1%
89966952 1
< 0.1%
82834838 1
< 0.1%
60963450 2
< 0.1%
57170066 1
< 0.1%

ay_006
Real number (ℝ)

MISSING  ZEROS 

Distinct34628
Distinct (%)58.4%
Missing671
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean1078551.199
Minimum0
Maximum127680326
Zeros16604
Zeros (%)27.7%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:33:44.603739image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median168202
Q31270244
95-th percentile3614025.2
Maximum127680326
Range127680326
Interquartile range (IQR)1270244

Descriptive statistics

Standard deviation3278941.404
Coefficient of variation (CV)3.040135143
Kurtosis245.8185061
Mean1078551.199
Median Absolute Deviation (MAD)168202
Skewness12.79632226
Sum6.398936409 × 1010
Variance1.075145673 × 1013
MonotonicityNot monotonic
2023-10-29T14:33:44.926269image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16604
 
27.7%
168 7
 
< 0.1%
40990 7
 
< 0.1%
8236 7
 
< 0.1%
169962 7
 
< 0.1%
764946 7
 
< 0.1%
880874 7
 
< 0.1%
1032518 6
 
< 0.1%
52858 6
 
< 0.1%
13628 6
 
< 0.1%
Other values (34618) 42665
71.1%
(Missing) 671
 
1.1%
ValueCountFrequency (%)
0 16604
27.7%
2 5
 
< 0.1%
4 3
 
< 0.1%
6 3
 
< 0.1%
8 1
 
< 0.1%
ValueCountFrequency (%)
127680326 1
< 0.1%
113861584 1
< 0.1%
100440374 1
< 0.1%
94722586 1
< 0.1%
87038396 2
< 0.1%

ay_007
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct38651
Distinct (%)65.1%
Missing671
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean1546032.361
Minimum0
Maximum489678156
Zeros7432
Zeros (%)12.4%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:33:45.233587image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16118
median348622
Q31337364
95-th percentile5731892.8
Maximum489678156
Range489678156
Interquartile range (IQR)1331246

Descriptive statistics

Standard deviation5106177.3
Coefficient of variation (CV)3.302762237
Kurtosis1483.679442
Mean1546032.361
Median Absolute Deviation (MAD)348622
Skewness21.47072526
Sum9.172455397 × 1010
Variance2.607304662 × 1013
MonotonicityNot monotonic
2023-10-29T14:33:45.543906image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7432
 
12.4%
2 34
 
0.1%
830 13
 
< 0.1%
594 13
 
< 0.1%
4 13
 
< 0.1%
986 13
 
< 0.1%
154 12
 
< 0.1%
938 12
 
< 0.1%
286 12
 
< 0.1%
1270 12
 
< 0.1%
Other values (38641) 51763
86.3%
(Missing) 671
 
1.1%
ValueCountFrequency (%)
0 7432
12.4%
2 34
 
0.1%
4 13
 
< 0.1%
6 7
 
< 0.1%
8 7
 
< 0.1%
ValueCountFrequency (%)
489678156 1
< 0.1%
127270050 1
< 0.1%
115592992 1
< 0.1%
112608764 1
< 0.1%
97802260 1
< 0.1%

ay_008
Real number (ℝ)

MISSING  ZEROS 

Distinct37822
Distinct (%)63.7%
Missing671
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean1051122.964
Minimum0
Maximum104566992
Zeros4944
Zeros (%)8.2%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:33:45.844631image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17524
median94812
Q3611816
95-th percentile4026791.6
Maximum104566992
Range104566992
Interquartile range (IQR)604292

Descriptive statistics

Standard deviation3991049.53
Coefficient of variation (CV)3.796938766
Kurtosis132.0209234
Mean1051122.964
Median Absolute Deviation (MAD)94810
Skewness9.657899076
Sum6.236207433 × 1010
Variance1.592847635 × 1013
MonotonicityNot monotonic
2023-10-29T14:33:46.164637image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4944
 
8.2%
2 478
 
0.8%
4 115
 
0.2%
6 75
 
0.1%
8 40
 
0.1%
10 28
 
< 0.1%
1108 21
 
< 0.1%
12 21
 
< 0.1%
1016 18
 
< 0.1%
1030 18
 
< 0.1%
Other values (37812) 53571
89.3%
(Missing) 671
 
1.1%
ValueCountFrequency (%)
0 4944
8.2%
2 478
 
0.8%
4 115
 
0.2%
6 75
 
0.1%
8 40
 
0.1%
ValueCountFrequency (%)
104566992 1
< 0.1%
104166112 1
< 0.1%
98833206 1
< 0.1%
94894698 1
< 0.1%
88460584 1
< 0.1%

ay_009
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct447
Distinct (%)0.8%
Missing671
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean1162.621618
Minimum0
Maximum18824656
Zeros58789
Zeros (%)98.0%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:33:46.472839image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum18824656
Range18824656
Interquartile range (IQR)0

Descriptive statistics

Standard deviation97960.80159
Coefficient of variation (CV)84.25854124
Kurtosis27681.89035
Mean1162.621618
Median Absolute Deviation (MAD)0
Skewness159.0668368
Sum68977178
Variance9596318648
MonotonicityNot monotonic
2023-10-29T14:33:47.092617image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 58789
98.0%
2 24
 
< 0.1%
6 7
 
< 0.1%
4 7
 
< 0.1%
55132 5
 
< 0.1%
36 5
 
< 0.1%
10 4
 
< 0.1%
68 4
 
< 0.1%
196 3
 
< 0.1%
64528 3
 
< 0.1%
Other values (437) 478
 
0.8%
(Missing) 671
 
1.1%
ValueCountFrequency (%)
0 58789
98.0%
2 24
 
< 0.1%
4 7
 
< 0.1%
6 7
 
< 0.1%
8 2
 
< 0.1%
ValueCountFrequency (%)
18824656 1
< 0.1%
12507682 1
< 0.1%
5699098 1
< 0.1%
3142130 1
< 0.1%
2956850 1
< 0.1%

az_000
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct9184
Distinct (%)15.5%
Missing671
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean7849.607679
Minimum0
Maximum10124620
Zeros1096
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:33:47.424754image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile60
Q11028
median2098
Q34150
95-th percentile21166.4
Maximum10124620
Range10124620
Interquartile range (IQR)3122

Descriptive statistics

Standard deviation73636.76131
Coefficient of variation (CV)9.380947981
Kurtosis7257.638985
Mean7849.607679
Median Absolute Deviation (MAD)1508
Skewness69.34748491
Sum465709374
Variance5422372616
MonotonicityNot monotonic
2023-10-29T14:33:47.736406image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1096
 
1.8%
58 157
 
0.3%
52 154
 
0.3%
54 151
 
0.3%
70 150
 
0.2%
72 147
 
0.2%
60 145
 
0.2%
64 144
 
0.2%
74 134
 
0.2%
50 130
 
0.2%
Other values (9174) 56921
94.9%
(Missing) 671
 
1.1%
ValueCountFrequency (%)
0 1096
1.8%
2 10
 
< 0.1%
4 14
 
< 0.1%
6 9
 
< 0.1%
8 15
 
< 0.1%
ValueCountFrequency (%)
10124620 1
< 0.1%
4472566 1
< 0.1%
4289570 1
< 0.1%
3942494 1
< 0.1%
3926210 2
< 0.1%

az_001
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct7378
Distinct (%)12.4%
Missing671
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean4420.992365
Minimum0
Maximum4530258
Zeros1458
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:33:48.036322image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q160
median636
Q32016
95-th percentile13952
Maximum4530258
Range4530258
Interquartile range (IQR)1956

Descriptive statistics

Standard deviation33995.39086
Coefficient of variation (CV)7.689538469
Kurtosis6043.891607
Mean4420.992365
Median Absolute Deviation (MAD)614
Skewness58.30398891
Sum262293056
Variance1155686600
MonotonicityNot monotonic
2023-10-29T14:33:48.386585image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1458
 
2.4%
12 780
 
1.3%
10 779
 
1.3%
6 771
 
1.3%
14 751
 
1.3%
8 739
 
1.2%
18 696
 
1.2%
4 675
 
1.1%
16 670
 
1.1%
20 651
 
1.1%
Other values (7368) 51359
85.6%
(Missing) 671
 
1.1%
ValueCountFrequency (%)
0 1458
2.4%
2 588
1.0%
4 675
1.1%
6 771
1.3%
8 739
1.2%
ValueCountFrequency (%)
4530258 1
< 0.1%
2174792 1
< 0.1%
1721850 1
< 0.1%
1573086 1
< 0.1%
1512100 1
< 0.1%

az_002
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct9064
Distinct (%)15.3%
Missing671
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean8066.081512
Minimum0
Maximum14217662
Zeros1280
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:33:48.740201image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q190
median1016
Q33136
95-th percentile22150
Maximum14217662
Range14217662
Interquartile range (IQR)3046

Descriptive statistics

Standard deviation106599.7224
Coefficient of variation (CV)13.21580029
Kurtosis9672.919466
Mean8066.081512
Median Absolute Deviation (MAD)980
Skewness86.76353514
Sum478552550
Variance1.136350082 × 1010
MonotonicityNot monotonic
2023-10-29T14:33:49.208409image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1280
 
2.1%
26 536
 
0.9%
14 533
 
0.9%
18 521
 
0.9%
20 512
 
0.9%
22 511
 
0.9%
24 501
 
0.8%
28 487
 
0.8%
16 475
 
0.8%
12 470
 
0.8%
Other values (9054) 53503
89.2%
(Missing) 671
 
1.1%
ValueCountFrequency (%)
0 1280
2.1%
2 311
 
0.5%
4 373
 
0.6%
6 453
 
0.8%
8 414
 
0.7%
ValueCountFrequency (%)
14217662 1
< 0.1%
12088584 1
< 0.1%
9477012 1
< 0.1%
7487532 1
< 0.1%
3907078 1
< 0.1%

az_003
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct21530
Distinct (%)36.3%
Missing671
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean87240.81872
Minimum0
Maximum45584242
Zeros1184
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:33:49.672996image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile16
Q1294
median3570
Q343014
95-th percentile315794.4
Maximum45584242
Range45584242
Interquartile range (IQR)42720

Descriptive statistics

Standard deviation653256.1507
Coefficient of variation (CV)7.487964467
Kurtosis1455.146156
Mean87240.81872
Median Absolute Deviation (MAD)3548
Skewness32.66392812
Sum5175910534
Variance4.267435984 × 1011
MonotonicityNot monotonic
2023-10-29T14:33:50.091190image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1184
 
2.0%
24 365
 
0.6%
16 340
 
0.6%
26 329
 
0.5%
12 327
 
0.5%
18 318
 
0.5%
22 312
 
0.5%
20 309
 
0.5%
34 306
 
0.5%
28 305
 
0.5%
Other values (21520) 55234
92.1%
(Missing) 671
 
1.1%
ValueCountFrequency (%)
0 1184
2.0%
2 150
 
0.2%
4 207
 
0.3%
6 221
 
0.4%
8 239
 
0.4%
ValueCountFrequency (%)
45584242 1
< 0.1%
39887846 1
< 0.1%
33692320 1
< 0.1%
32531744 1
< 0.1%
30279546 1
< 0.1%

az_004
Real number (ℝ)

MISSING  ZEROS 

Distinct34077
Distinct (%)57.4%
Missing671
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean1476896.662
Minimum0
Maximum123047106
Zeros1147
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:33:50.476608image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile38
Q11542
median81614
Q31774410
95-th percentile5227812
Maximum123047106
Range123047106
Interquartile range (IQR)1772868

Descriptive statistics

Standard deviation4184087.052
Coefficient of variation (CV)2.833026277
Kurtosis112.2688872
Mean1476896.662
Median Absolute Deviation (MAD)81594
Skewness8.721882727
Sum8.762280207 × 1010
Variance1.750658446 × 1013
MonotonicityNot monotonic
2023-10-29T14:33:50.924613image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1147
 
1.9%
12 153
 
0.3%
16 138
 
0.2%
20 133
 
0.2%
8 130
 
0.2%
6 124
 
0.2%
18 119
 
0.2%
14 107
 
0.2%
24 102
 
0.2%
28 101
 
0.2%
Other values (34067) 57075
95.1%
(Missing) 671
 
1.1%
ValueCountFrequency (%)
0 1147
1.9%
2 57
 
0.1%
4 78
 
0.1%
6 124
 
0.2%
8 130
 
0.2%
ValueCountFrequency (%)
123047106 1
< 0.1%
107213226 1
< 0.1%
99924008 1
< 0.1%
96686576 1
< 0.1%
95210862 1
< 0.1%

az_005
Real number (ℝ)

MISSING  ZEROS 

Distinct44601
Distinct (%)75.2%
Missing671
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean2135583.858
Minimum0
Maximum467832334
Zeros1129
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:33:51.418510image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile822
Q138638
median527034
Q31796172
95-th percentile8013901.6
Maximum467832334
Range467832334
Interquartile range (IQR)1757534

Descriptive statistics

Standard deviation6460220.91
Coefficient of variation (CV)3.025037339
Kurtosis515.3168993
Mean2135583.858
Median Absolute Deviation (MAD)520730
Skewness12.75471521
Sum1.267020547 × 1011
Variance4.173445421 × 1013
MonotonicityNot monotonic
2023-10-29T14:33:51.853698image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1129
 
1.9%
306 15
 
< 0.1%
140 14
 
< 0.1%
194 14
 
< 0.1%
180 14
 
< 0.1%
176 13
 
< 0.1%
184 12
 
< 0.1%
250 12
 
< 0.1%
350 12
 
< 0.1%
274 12
 
< 0.1%
Other values (44591) 58082
96.8%
(Missing) 671
 
1.1%
ValueCountFrequency (%)
0 1129
1.9%
2 8
 
< 0.1%
4 4
 
< 0.1%
6 3
 
< 0.1%
10 2
 
< 0.1%
ValueCountFrequency (%)
467832334 1
< 0.1%
130525766 1
< 0.1%
128390912 1
< 0.1%
128264668 1
< 0.1%
111274438 1
< 0.1%

az_006
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct12306
Distinct (%)20.7%
Missing671
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean101894.2579
Minimum0
Maximum64589140
Zeros8672
Zeros (%)14.5%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:33:52.288386image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110
median292
Q34218
95-th percentile130964.8
Maximum64589140
Range64589140
Interquartile range (IQR)4208

Descriptive statistics

Standard deviation899769.9407
Coefficient of variation (CV)8.830428325
Kurtosis1059.574055
Mean101894.2579
Median Absolute Deviation (MAD)292
Skewness24.83050753
Sum6045284424
Variance8.095859461 × 1011
MonotonicityNot monotonic
2023-10-29T14:33:52.784573image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8672
 
14.5%
2 2221
 
3.7%
4 1478
 
2.5%
6 1142
 
1.9%
8 931
 
1.6%
10 776
 
1.3%
12 706
 
1.2%
14 593
 
1.0%
16 524
 
0.9%
18 483
 
0.8%
Other values (12296) 41803
69.7%
(Missing) 671
 
1.1%
ValueCountFrequency (%)
0 8672
14.5%
2 2221
 
3.7%
4 1478
 
2.5%
6 1142
 
1.9%
8 931
 
1.6%
ValueCountFrequency (%)
64589140 1
< 0.1%
49598386 1
< 0.1%
46170334 1
< 0.1%
45996016 1
< 0.1%
33648264 1
< 0.1%

az_007
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct3876
Distinct (%)6.5%
Missing671
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean17377.81719
Minimum0
Maximum39158218
Zeros45094
Zeros (%)75.2%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:33:53.278434image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5117.6
Maximum39158218
Range39158218
Interquartile range (IQR)0

Descriptive statistics

Standard deviation280444.5533
Coefficient of variation (CV)16.13807708
Kurtosis7052.561931
Mean17377.81719
Median Absolute Deviation (MAD)0
Skewness63.19470008
Sum1031008516
Variance7.864914746 × 1010
MonotonicityNot monotonic
2023-10-29T14:33:53.788711image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 45094
75.2%
2 3535
 
5.9%
4 1363
 
2.3%
6 756
 
1.3%
8 462
 
0.8%
10 334
 
0.6%
12 235
 
0.4%
14 218
 
0.4%
16 153
 
0.3%
18 139
 
0.2%
Other values (3866) 7040
 
11.7%
(Missing) 671
 
1.1%
ValueCountFrequency (%)
0 45094
75.2%
2 3535
 
5.9%
4 1363
 
2.3%
6 756
 
1.3%
8 462
 
0.8%
ValueCountFrequency (%)
39158218 1
< 0.1%
16588626 1
< 0.1%
14329452 1
< 0.1%
13210756 1
< 0.1%
12664456 1
< 0.1%

az_008
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct1271
Distinct (%)2.1%
Missing671
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean661.7861417
Minimum0
Maximum1947884
Zeros54222
Zeros (%)90.4%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:33:54.286482image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6
Maximum1947884
Range1947884
Interquartile range (IQR)0

Descriptive statistics

Standard deviation14924.75382
Coefficient of variation (CV)22.55223082
Kurtosis6009.714653
Mean661.7861417
Median Absolute Deviation (MAD)0
Skewness62.46105569
Sum39263110
Variance222748276.6
MonotonicityNot monotonic
2023-10-29T14:33:54.778223image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 54222
90.4%
2 1407
 
2.3%
4 540
 
0.9%
6 278
 
0.5%
8 189
 
0.3%
10 123
 
0.2%
12 89
 
0.1%
14 77
 
0.1%
18 71
 
0.1%
16 51
 
0.1%
Other values (1261) 2282
 
3.8%
(Missing) 671
 
1.1%
ValueCountFrequency (%)
0 54222
90.4%
2 1407
 
2.3%
4 540
 
0.9%
6 278
 
0.5%
8 189
 
0.3%
ValueCountFrequency (%)
1947884 1
< 0.1%
1005636 1
< 0.1%
799128 1
< 0.1%
773658 1
< 0.1%
741750 1
< 0.1%

az_009
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct336
Distinct (%)0.6%
Missing671
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean42.0734548
Minimum0
Maximum666148
Zeros57445
Zeros (%)95.7%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:33:55.232540image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum666148
Range666148
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3256.569903
Coefficient of variation (CV)77.40200842
Kurtosis30918.79685
Mean42.0734548
Median Absolute Deviation (MAD)0
Skewness163.6091465
Sum2496176
Variance10605247.53
MonotonicityNot monotonic
2023-10-29T14:33:55.566525image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 57445
95.7%
2 650
 
1.1%
4 215
 
0.4%
6 142
 
0.2%
8 61
 
0.1%
10 58
 
0.1%
14 35
 
0.1%
12 33
 
0.1%
18 29
 
< 0.1%
16 27
 
< 0.1%
Other values (326) 634
 
1.1%
(Missing) 671
 
1.1%
ValueCountFrequency (%)
0 57445
95.7%
2 650
 
1.1%
4 215
 
0.4%
6 142
 
0.2%
8 61
 
0.1%
ValueCountFrequency (%)
666148 1
< 0.1%
256294 2
< 0.1%
153712 1
< 0.1%
125288 1
< 0.1%
55516 1
< 0.1%

ba_000
Real number (ℝ)

MISSING  ZEROS 

Distinct44840
Distinct (%)75.6%
Missing688
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean1399651.957
Minimum0
Maximum232871714
Zeros1089
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:33:55.954501image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3736
Q133478.5
median679486
Q31276368
95-th percentile4912936.9
Maximum232871714
Range232871714
Interquartile range (IQR)1242889.5

Descriptive statistics

Standard deviation3777091.373
Coefficient of variation (CV)2.698593286
Kurtosis323.738259
Mean1399651.957
Median Absolute Deviation (MAD)643038
Skewness11.36709156
Sum8.301615685 × 1010
Variance1.426641924 × 1013
MonotonicityNot monotonic
2023-10-29T14:33:56.332936image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1089
 
1.8%
5148 10
 
< 0.1%
6280 9
 
< 0.1%
4020 8
 
< 0.1%
3996 8
 
< 0.1%
6030 8
 
< 0.1%
3090 8
 
< 0.1%
4784 7
 
< 0.1%
5180 7
 
< 0.1%
5864 7
 
< 0.1%
Other values (44830) 58151
96.9%
(Missing) 688
 
1.1%
ValueCountFrequency (%)
0 1089
1.8%
10 1
 
< 0.1%
18 1
 
< 0.1%
22 2
 
< 0.1%
24 1
 
< 0.1%
ValueCountFrequency (%)
232871714 1
< 0.1%
91036276 1
< 0.1%
83748900 1
< 0.1%
76635160 1
< 0.1%
75825204 1
< 0.1%

ba_001
Real number (ℝ)

MISSING  ZEROS 

Distinct40164
Distinct (%)67.7%
Missing688
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean894117.469
Minimum0
Maximum116283282
Zeros1139
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:33:56.659778image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile262
Q114833.5
median443641
Q3811000.5
95-th percentile3053331.3
Maximum116283282
Range116283282
Interquartile range (IQR)796167

Descriptive statistics

Standard deviation2346002.005
Coefficient of variation (CV)2.623818554
Kurtosis192.2744104
Mean894117.469
Median Absolute Deviation (MAD)422750
Skewness9.535364245
Sum5.303189532 × 1010
Variance5.503725408 × 1012
MonotonicityNot monotonic
2023-10-29T14:33:56.996959image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1139
 
1.9%
228 32
 
0.1%
230 32
 
0.1%
248 31
 
0.1%
198 31
 
0.1%
340 30
 
0.1%
268 30
 
0.1%
466 29
 
< 0.1%
356 29
 
< 0.1%
192 29
 
< 0.1%
Other values (40154) 57900
96.5%
(Missing) 688
 
1.1%
ValueCountFrequency (%)
0 1139
1.9%
2 2
 
< 0.1%
4 5
 
< 0.1%
6 1
 
< 0.1%
8 5
 
< 0.1%
ValueCountFrequency (%)
116283282 1
< 0.1%
79131824 1
< 0.1%
62893740 1
< 0.1%
50592530 1
< 0.1%
44514094 1
< 0.1%

ba_002
Real number (ℝ)

MISSING  ZEROS 

Distinct35958
Distinct (%)60.6%
Missing688
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean413096.932
Minimum0
Maximum55807388
Zeros1172
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:33:57.303472image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile86
Q15207.5
median186046
Q3340408.5
95-th percentile1419640
Maximum55807388
Range55807388
Interquartile range (IQR)335201

Descriptive statistics

Standard deviation1196082.576
Coefficient of variation (CV)2.895404161
Kurtosis156.0392832
Mean413096.932
Median Absolute Deviation (MAD)178756
Skewness9.165728906
Sum2.450160523 × 1010
Variance1.430613528 × 1012
MonotonicityNot monotonic
2023-10-29T14:33:57.912829image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1172
 
2.0%
78 111
 
0.2%
76 109
 
0.2%
90 104
 
0.2%
96 103
 
0.2%
112 102
 
0.2%
124 101
 
0.2%
86 97
 
0.2%
128 97
 
0.2%
100 96
 
0.2%
Other values (35948) 57220
95.4%
(Missing) 688
 
1.1%
ValueCountFrequency (%)
0 1172
2.0%
2 14
 
< 0.1%
4 3
 
< 0.1%
6 8
 
< 0.1%
8 6
 
< 0.1%
ValueCountFrequency (%)
55807388 1
< 0.1%
23973416 1
< 0.1%
23536240 1
< 0.1%
23158984 1
< 0.1%
22533024 1
< 0.1%

ba_003
Real number (ℝ)

MISSING  ZEROS 

Distinct32914
Distinct (%)55.5%
Missing688
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean274006.9579
Minimum0
Maximum36931418
Zeros1204
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:33:58.233705image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile60
Q11842
median134149
Q3244449
95-th percentile924174.2
Maximum36931418
Range36931418
Interquartile range (IQR)242607

Descriptive statistics

Standard deviation748538.761
Coefficient of variation (CV)2.731823917
Kurtosis176.7051185
Mean274006.9579
Median Absolute Deviation (MAD)131403
Skewness9.348956824
Sum1.625190069 × 1010
Variance5.603102767 × 1011
MonotonicityNot monotonic
2023-10-29T14:33:58.552372image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1204
 
2.0%
58 144
 
0.2%
62 132
 
0.2%
54 129
 
0.2%
56 128
 
0.2%
70 125
 
0.2%
60 124
 
0.2%
68 121
 
0.2%
72 120
 
0.2%
64 119
 
0.2%
Other values (32904) 56966
94.9%
(Missing) 688
 
1.1%
ValueCountFrequency (%)
0 1204
2.0%
2 11
 
< 0.1%
4 15
 
< 0.1%
6 16
 
< 0.1%
8 19
 
< 0.1%
ValueCountFrequency (%)
36931418 1
< 0.1%
19672872 1
< 0.1%
16185622 1
< 0.1%
14454880 1
< 0.1%
13979692 1
< 0.1%

ba_004
Real number (ℝ)

MISSING  ZEROS 

Distinct30673
Distinct (%)51.7%
Missing688
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean204875.5797
Minimum0
Maximum25158556
Zeros1236
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:33:58.897523image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30
Q1612
median101874
Q3197162
95-th percentile697938
Maximum25158556
Range25158556
Interquartile range (IQR)196550

Descriptive statistics

Standard deviation539058.4048
Coefficient of variation (CV)2.631150114
Kurtosis160.2638079
Mean204875.5797
Median Absolute Deviation (MAD)101168
Skewness9.156072895
Sum1.215158038 × 1010
Variance2.905839637 × 1011
MonotonicityNot monotonic
2023-10-29T14:33:59.228512image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1236
 
2.1%
34 215
 
0.4%
44 207
 
0.3%
24 207
 
0.3%
36 207
 
0.3%
42 202
 
0.3%
28 197
 
0.3%
32 195
 
0.3%
50 193
 
0.3%
54 192
 
0.3%
Other values (30663) 56261
93.8%
(Missing) 688
 
1.1%
ValueCountFrequency (%)
0 1236
2.1%
2 44
 
0.1%
4 41
 
0.1%
6 53
 
0.1%
8 73
 
0.1%
ValueCountFrequency (%)
25158556 1
< 0.1%
13587396 1
< 0.1%
12626486 1
< 0.1%
11070534 2
< 0.1%
10623958 1
< 0.1%

ba_005
Real number (ℝ)

MISSING  ZEROS 

Distinct29593
Distinct (%)49.9%
Missing688
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean188941.1894
Minimum0
Maximum19208664
Zeros1328
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:33:59.576937image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile20
Q1374
median83992
Q3184674
95-th percentile666783.9
Maximum19208664
Range19208664
Interquartile range (IQR)184300

Descriptive statistics

Standard deviation509267.1795
Coefficient of variation (CV)2.695374053
Kurtosis164.4665173
Mean188941.1894
Median Absolute Deviation (MAD)83730
Skewness9.811978668
Sum1.120647983 × 1010
Variance2.593530601 × 1011
MonotonicityNot monotonic
2023-10-29T14:33:59.934763image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1328
 
2.2%
22 265
 
0.4%
34 235
 
0.4%
26 234
 
0.4%
20 228
 
0.4%
30 225
 
0.4%
32 219
 
0.4%
18 217
 
0.4%
12 208
 
0.3%
24 207
 
0.3%
Other values (29583) 55946
93.2%
(Missing) 688
 
1.1%
ValueCountFrequency (%)
0 1328
2.2%
2 104
 
0.2%
4 104
 
0.2%
6 126
 
0.2%
8 179
 
0.3%
ValueCountFrequency (%)
19208664 1
< 0.1%
16758932 2
< 0.1%
13860872 1
< 0.1%
12283190 2
< 0.1%
10281770 1
< 0.1%

ba_006
Real number (ℝ)

MISSING  ZEROS 

Distinct29281
Distinct (%)49.4%
Missing688
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean210628.8226
Minimum0
Maximum18997660
Zeros1997
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:00.273611image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12
Q1352
median70116
Q3204959
95-th percentile727006.3
Maximum18997660
Range18997660
Interquartile range (IQR)204607

Descriptive statistics

Standard deviation637081.5022
Coefficient of variation (CV)3.024664404
Kurtosis165.423738
Mean210628.8226
Median Absolute Deviation (MAD)70030
Skewness10.67364486
Sum1.249281673 × 1010
Variance4.058728405 × 1011
MonotonicityNot monotonic
2023-10-29T14:34:00.608628image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1997
 
3.3%
8 194
 
0.3%
2 193
 
0.3%
14 187
 
0.3%
6 184
 
0.3%
12 180
 
0.3%
10 173
 
0.3%
76 165
 
0.3%
70 158
 
0.3%
74 157
 
0.3%
Other values (29271) 55724
92.9%
(Missing) 688
 
1.1%
ValueCountFrequency (%)
0 1997
3.3%
2 193
 
0.3%
4 139
 
0.2%
6 184
 
0.3%
8 194
 
0.3%
ValueCountFrequency (%)
18997660 2
< 0.1%
16235734 1
< 0.1%
16231464 1
< 0.1%
14858680 1
< 0.1%
14811728 1
< 0.1%

ba_007
Real number (ℝ)

MISSING  ZEROS 

Distinct25166
Distinct (%)42.4%
Missing688
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean185787.3857
Minimum0
Maximum14314086
Zeros8038
Zeros (%)13.4%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:00.945810image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q172
median4470
Q3207471
95-th percentile742680.5
Maximum14314086
Range14314086
Interquartile range (IQR)207399

Descriptive statistics

Standard deviation525150.6302
Coefficient of variation (CV)2.826621562
Kurtosis114.4058344
Mean185787.3857
Median Absolute Deviation (MAD)4470
Skewness8.759218007
Sum1.101942142 × 1010
Variance2.757831844 × 1011
MonotonicityNot monotonic
2023-10-29T14:34:01.277424image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8038
 
13.4%
2 575
 
1.0%
4 458
 
0.8%
6 405
 
0.7%
8 327
 
0.5%
10 279
 
0.5%
12 213
 
0.4%
16 202
 
0.3%
14 182
 
0.3%
20 181
 
0.3%
Other values (25156) 48452
80.8%
(Missing) 688
 
1.1%
ValueCountFrequency (%)
0 8038
13.4%
2 575
 
1.0%
4 458
 
0.8%
6 405
 
0.7%
8 327
 
0.5%
ValueCountFrequency (%)
14314086 1
< 0.1%
12366206 1
< 0.1%
11333846 1
< 0.1%
11321662 1
< 0.1%
10957570 1
< 0.1%

ba_008
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct11816
Distinct (%)19.9%
Missing688
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean35882.83902
Minimum0
Maximum31265984
Zeros24854
Zeros (%)41.4%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:01.626071image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median22
Q31820
95-th percentile148742.7
Maximum31265984
Range31265984
Interquartile range (IQR)1820

Descriptive statistics

Standard deviation243665.6821
Coefficient of variation (CV)6.790590954
Kurtosis5703.784012
Mean35882.83902
Median Absolute Deviation (MAD)22
Skewness53.34524966
Sum2128282948
Variance5.937296461 × 1010
MonotonicityNot monotonic
2023-10-29T14:34:01.954511image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 24854
41.4%
2 754
 
1.3%
4 539
 
0.9%
8 444
 
0.7%
6 432
 
0.7%
10 406
 
0.7%
18 400
 
0.7%
14 390
 
0.7%
12 387
 
0.6%
16 387
 
0.6%
Other values (11806) 30319
50.5%
(Missing) 688
 
1.1%
ValueCountFrequency (%)
0 24854
41.4%
2 754
 
1.3%
4 539
 
0.9%
6 432
 
0.7%
8 444
 
0.7%
ValueCountFrequency (%)
31265984 1
< 0.1%
21706886 1
< 0.1%
7998950 1
< 0.1%
7865146 1
< 0.1%
6854540 1
< 0.1%

ba_009
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct6797
Distinct (%)11.5%
Missing688
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean35766.72103
Minimum0
Maximum43706408
Zeros39619
Zeros (%)66.0%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:02.294678image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q360
95-th percentile82411.5
Maximum43706408
Range43706408
Interquartile range (IQR)60

Descriptive statistics

Standard deviation335327.6093
Coefficient of variation (CV)9.37540819
Kurtosis5191.160503
Mean35766.72103
Median Absolute Deviation (MAD)0
Skewness49.2098809
Sum2121395758
Variance1.124446056 × 1011
MonotonicityNot monotonic
2023-10-29T14:34:02.628839image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 39619
66.0%
2 651
 
1.1%
4 447
 
0.7%
6 363
 
0.6%
10 284
 
0.5%
8 262
 
0.4%
12 218
 
0.4%
14 209
 
0.3%
20 195
 
0.3%
16 168
 
0.3%
Other values (6787) 16896
28.2%
(Missing) 688
 
1.1%
ValueCountFrequency (%)
0 39619
66.0%
2 651
 
1.1%
4 447
 
0.7%
6 363
 
0.6%
8 262
 
0.4%
ValueCountFrequency (%)
43706408 1
< 0.1%
18924160 1
< 0.1%
11103592 1
< 0.1%
10857492 1
< 0.1%
10805998 1
< 0.1%

bb_000
Real number (ℝ)

MISSING 

Distinct49392
Distinct (%)83.2%
Missing645
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean4526177.188
Minimum0
Maximum192871534
Zeros107
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:02.958487image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile18217.4
Q1105601
median2360728
Q33868370
95-th percentile16268308.6
Maximum192871534
Range192871534
Interquartile range (IQR)3762769

Descriptive statistics

Standard deviation10886736.63
Coefficient of variation (CV)2.405282909
Kurtosis43.65427815
Mean4526177.188
Median Absolute Deviation (MAD)2215866
Skewness5.870093771
Sum2.68651247 × 1011
Variance1.185210345 × 1014
MonotonicityNot monotonic
2023-10-29T14:34:03.294798image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 107
 
0.2%
14342 6
 
< 0.1%
27080 6
 
< 0.1%
20344 6
 
< 0.1%
131080 6
 
< 0.1%
19544 6
 
< 0.1%
19402 6
 
< 0.1%
2537146 6
 
< 0.1%
22964 5
 
< 0.1%
16918 5
 
< 0.1%
Other values (49382) 59196
98.7%
(Missing) 645
 
1.1%
ValueCountFrequency (%)
0 107
0.2%
4 1
 
< 0.1%
8 1
 
< 0.1%
34 1
 
< 0.1%
80 2
 
< 0.1%
ValueCountFrequency (%)
192871534 1
< 0.1%
174389278 1
< 0.1%
168863744 1
< 0.1%
156119556 1
< 0.1%
154053392 1
< 0.1%

bc_000
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct2807
Distinct (%)4.9%
Missing2725
Missing (%)4.5%
Infinite0
Infinite (%)0.0%
Mean569.5265648
Minimum0
Maximum396952
Zeros19296
Zeros (%)32.2%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:03.654655image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median16
Q3136
95-th percentile1984.6
Maximum396952
Range396952
Interquartile range (IQR)136

Descriptive statistics

Standard deviation4045.937032
Coefficient of variation (CV)7.104035671
Kurtosis3505.860534
Mean569.5265648
Median Absolute Deviation (MAD)16
Skewness43.26297649
Sum32619634
Variance16369606.47
MonotonicityNot monotonic
2023-10-29T14:34:04.114812image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19296
32.2%
2 3157
 
5.3%
4 1810
 
3.0%
6 1183
 
2.0%
8 938
 
1.6%
10 828
 
1.4%
12 682
 
1.1%
16 654
 
1.1%
14 636
 
1.1%
18 582
 
1.0%
Other values (2797) 27509
45.8%
(Missing) 2725
 
4.5%
ValueCountFrequency (%)
0 19296
32.2%
2 3157
 
5.3%
4 1810
 
3.0%
6 1183
 
2.0%
8 938
 
1.6%
ValueCountFrequency (%)
396952 2
< 0.1%
215154 1
< 0.1%
151844 1
< 0.1%
123130 1
< 0.1%
115124 1
< 0.1%

bd_000
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct3565
Distinct (%)6.2%
Missing2727
Missing (%)4.5%
Infinite0
Infinite (%)0.0%
Mean921.7754614
Minimum0
Maximum306452
Zeros4030
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:04.924430image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median66
Q3438
95-th percentile3414.8
Maximum306452
Range306452
Interquartile range (IQR)430

Descriptive statistics

Standard deviation4833.065431
Coefficient of variation (CV)5.243213378
Kurtosis933.8976767
Mean921.7754614
Median Absolute Deviation (MAD)64
Skewness23.08196132
Sum52792846
Variance23358521.46
MonotonicityNot monotonic
2023-10-29T14:34:05.566017image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4030
 
6.7%
4 3111
 
5.2%
2 2954
 
4.9%
6 2368
 
3.9%
8 1908
 
3.2%
10 1509
 
2.5%
12 1197
 
2.0%
14 935
 
1.6%
16 855
 
1.4%
18 759
 
1.3%
Other values (3555) 37647
62.7%
(Missing) 2727
 
4.5%
ValueCountFrequency (%)
0 4030
6.7%
2 2954
4.9%
4 3111
5.2%
6 2368
3.9%
8 1908
3.2%
ValueCountFrequency (%)
306452 1
< 0.1%
293032 1
< 0.1%
243444 1
< 0.1%
232606 1
< 0.1%
165170 2
< 0.1%

be_000
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct3918
Distinct (%)6.8%
Missing2503
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean1372.646086
Minimum0
Maximum810568
Zeros6951
Zeros (%)11.6%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:06.090377image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q118
median180
Q3614
95-th percentile4153.2
Maximum810568
Range810568
Interquartile range (IQR)596

Descriptive statistics

Standard deviation9249.936515
Coefficient of variation (CV)6.738762898
Kurtosis2532.123718
Mean1372.646086
Median Absolute Deviation (MAD)178
Skewness37.84446632
Sum78923032
Variance85561325.53
MonotonicityNot monotonic
2023-10-29T14:34:06.574559image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6951
 
11.6%
2 2346
 
3.9%
4 1315
 
2.2%
6 871
 
1.5%
8 708
 
1.2%
10 628
 
1.0%
12 486
 
0.8%
14 479
 
0.8%
16 455
 
0.8%
18 401
 
0.7%
Other values (3908) 42857
71.4%
(Missing) 2503
 
4.2%
ValueCountFrequency (%)
0 6951
11.6%
2 2346
 
3.9%
4 1315
 
2.2%
6 871
 
1.5%
8 708
 
1.2%
ValueCountFrequency (%)
810568 2
< 0.1%
569646 1
< 0.1%
363944 1
< 0.1%
351502 2
< 0.1%
268908 1
< 0.1%

bf_000
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct1098
Distinct (%)1.9%
Missing2500
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean74.87826087
Minimum0
Maximum51050
Zeros25294
Zeros (%)42.2%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:07.044559image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q318
95-th percentile242
Maximum51050
Range51050
Interquartile range (IQR)18

Descriptive statistics

Standard deviation546.7896111
Coefficient of variation (CV)7.302381288
Kurtosis3029.535319
Mean74.87826087
Median Absolute Deviation (MAD)2
Skewness40.52196174
Sum4305500
Variance298978.8788
MonotonicityNot monotonic
2023-10-29T14:34:07.516128image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 25294
42.2%
2 4868
 
8.1%
4 2943
 
4.9%
6 2259
 
3.8%
8 1831
 
3.1%
10 1555
 
2.6%
12 1309
 
2.2%
14 1184
 
2.0%
16 1031
 
1.7%
18 877
 
1.5%
Other values (1088) 14349
23.9%
(Missing) 2500
 
4.2%
ValueCountFrequency (%)
0 25294
42.2%
2 4868
 
8.1%
4 2943
 
4.9%
6 2259
 
3.8%
8 1831
 
3.1%
ValueCountFrequency (%)
51050 2
< 0.1%
33224 1
< 0.1%
19440 1
< 0.1%
17868 1
< 0.1%
15856 1
< 0.1%

bg_000
Real number (ℝ)

MISSING 

Distinct43568
Distinct (%)73.4%
Missing642
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean1809430.985
Minimum0
Maximum74247318
Zeros133
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:07.944749image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1820
Q129743
median1002718
Q31602765.5
95-th percentile6767714.5
Maximum74247318
Range74247318
Interquartile range (IQR)1573022.5

Descriptive statistics

Standard deviation4180199.777
Coefficient of variation (CV)2.310228913
Kurtosis38.1069465
Mean1809430.985
Median Absolute Deviation (MAD)955412
Skewness5.534854019
Sum1.074042044 × 1011
Variance1.747407018 × 1013
MonotonicityNot monotonic
2023-10-29T14:34:08.405865image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 133
 
0.2%
1868 14
 
< 0.1%
2196 13
 
< 0.1%
2742 13
 
< 0.1%
2608 13
 
< 0.1%
1974 13
 
< 0.1%
2232 12
 
< 0.1%
1530 12
 
< 0.1%
1950 12
 
< 0.1%
2212 12
 
< 0.1%
Other values (43558) 59111
98.5%
(Missing) 642
 
1.1%
ValueCountFrequency (%)
0 133
0.2%
2 1
 
< 0.1%
10 1
 
< 0.1%
12 1
 
< 0.1%
16 1
 
< 0.1%
ValueCountFrequency (%)
74247318 1
< 0.1%
58914854 1
< 0.1%
56953350 1
< 0.1%
54647980 1
< 0.1%
53165264 1
< 0.1%

bh_000
Real number (ℝ)

MISSING 

Distinct25240
Distinct (%)42.5%
Missing642
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean57943.08221
Minimum0
Maximum3200582
Zeros129
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:08.815942image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile140
Q1852
median26352
Q349085.5
95-th percentile211689.3
Maximum3200582
Range3200582
Interquartile range (IQR)48233.5

Descriptive statistics

Standard deviation152209.3211
Coefficient of variation (CV)2.626876502
Kurtosis63.23003482
Mean57943.08221
Median Absolute Deviation (MAD)25398
Skewness6.801442569
Sum3439385474
Variance2.316767743 × 1010
MonotonicityNot monotonic
2023-10-29T14:34:09.649482image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 129
 
0.2%
134 128
 
0.2%
140 114
 
0.2%
138 112
 
0.2%
130 110
 
0.2%
152 108
 
0.2%
136 104
 
0.2%
160 102
 
0.2%
180 102
 
0.2%
150 102
 
0.2%
Other values (25230) 58247
97.1%
(Missing) 642
 
1.1%
ValueCountFrequency (%)
0 129
0.2%
2 17
 
< 0.1%
4 11
 
< 0.1%
6 8
 
< 0.1%
8 5
 
< 0.1%
ValueCountFrequency (%)
3200582 1
< 0.1%
3176040 1
< 0.1%
3176026 1
< 0.1%
3146740 1
< 0.1%
2585334 1
< 0.1%

bi_000
Real number (ℝ)

Distinct42098
Distinct (%)70.9%
Missing589
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean492207.5729
Minimum0
Maximum44937496
Zeros117
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:10.114455image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3732
Q115947
median179842
Q3379610
95-th percentile1759906
Maximum44937496
Range44937496
Interquartile range (IQR)363663

Descriptive statistics

Standard deviation1485184.507
Coefficient of variation (CV)3.017394669
Kurtosis131.7696092
Mean492207.5729
Median Absolute Deviation (MAD)166476
Skewness9.198927541
Sum2.924254411 × 1010
Variance2.205773018 × 1012
MonotonicityNot monotonic
2023-10-29T14:34:10.542870image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 117
 
0.2%
2 12
 
< 0.1%
8112 10
 
< 0.1%
5534 10
 
< 0.1%
9936 9
 
< 0.1%
7640 9
 
< 0.1%
1652 9
 
< 0.1%
4018 9
 
< 0.1%
4662 9
 
< 0.1%
11878 9
 
< 0.1%
Other values (42088) 59208
98.7%
(Missing) 589
 
1.0%
ValueCountFrequency (%)
0 117
0.2%
2 12
 
< 0.1%
4 2
 
< 0.1%
6 3
 
< 0.1%
10 2
 
< 0.1%
ValueCountFrequency (%)
44937496 1
< 0.1%
42202288 1
< 0.1%
37131494 1
< 0.1%
36819014 1
< 0.1%
34942890 1
< 0.1%

bj_000
Real number (ℝ)

Distinct38359
Distinct (%)64.6%
Missing589
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean510089.2305
Minimum0
Maximum45736316
Zeros137
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:10.937447image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1724
Q18522
median154404
Q3333608
95-th percentile1716239
Maximum45736316
Range45736316
Interquartile range (IQR)325086

Descriptive statistics

Standard deviation1820104.912
Coefficient of variation (CV)3.56820886
Kurtosis129.7815414
Mean510089.2305
Median Absolute Deviation (MAD)147430
Skewness9.699980376
Sum3.030491128 × 1010
Variance3.31278189 × 1012
MonotonicityNot monotonic
2023-10-29T14:34:11.299643image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 137
 
0.2%
1456 14
 
< 0.1%
2234 14
 
< 0.1%
2458 14
 
< 0.1%
1856 14
 
< 0.1%
1578 14
 
< 0.1%
2692 13
 
< 0.1%
1844 13
 
< 0.1%
1896 13
 
< 0.1%
2184 13
 
< 0.1%
Other values (38349) 59152
98.6%
(Missing) 589
 
1.0%
ValueCountFrequency (%)
0 137
0.2%
2 3
 
< 0.1%
4 1
 
< 0.1%
8 2
 
< 0.1%
14 1
 
< 0.1%
ValueCountFrequency (%)
45736316 1
< 0.1%
43499622 1
< 0.1%
40976716 1
< 0.1%
40750038 2
< 0.1%
40370758 1
< 0.1%

bk_000
Real number (ℝ)

MISSING 

Distinct12917
Distinct (%)34.9%
Missing23034
Missing (%)38.4%
Infinite0
Infinite (%)0.0%
Mean280429.1143
Minimum0
Maximum1310700
Zeros502
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:11.625479image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile109580
Q1162720
median210660
Q3281115
95-th percentile1310700
Maximum1310700
Range1310700
Interquartile range (IQR)118395

Descriptive statistics

Standard deviation261301.4784
Coefficient of variation (CV)0.9317915474
Kurtosis9.838830998
Mean280429.1143
Median Absolute Deviation (MAD)55370
Skewness3.202804084
Sum1.036634264 × 1010
Variance6.82784626 × 1010
MonotonicityNot monotonic
2023-10-29T14:34:11.989980image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1310700 1942
 
3.2%
0 502
 
0.8%
179220 15
 
< 0.1%
161880 15
 
< 0.1%
165120 14
 
< 0.1%
179400 14
 
< 0.1%
212520 13
 
< 0.1%
226920 13
 
< 0.1%
211540 13
 
< 0.1%
165360 13
 
< 0.1%
Other values (12907) 34412
57.4%
(Missing) 23034
38.4%
ValueCountFrequency (%)
0 502
0.8%
11520 1
 
< 0.1%
39760 2
 
< 0.1%
40840 2
 
< 0.1%
50580 1
 
< 0.1%
ValueCountFrequency (%)
1310700 1942
3.2%
1209280 1
 
< 0.1%
1104320 1
 
< 0.1%
1021220 1
 
< 0.1%
1002780 1
 
< 0.1%

bl_000
Real number (ℝ)

MISSING  ZEROS 

Distinct11969
Distinct (%)36.6%
Missing27277
Missing (%)45.5%
Infinite0
Infinite (%)0.0%
Mean321353.687
Minimum0
Maximum1310700
Zeros1016
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:12.322829image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile106548
Q1170540
median222540
Q3303150
95-th percentile1310700
Maximum1310700
Range1310700
Interquartile range (IQR)132610

Descriptive statistics

Standard deviation319210.982
Coefficient of variation (CV)0.9933322533
Kurtosis4.999246006
Mean321353.687
Median Absolute Deviation (MAD)60820
Skewness2.481207272
Sum1.05156567 × 1010
Variance1.01895651 × 1011
MonotonicityNot monotonic
2023-10-29T14:34:12.678424image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1310700 2805
 
4.7%
0 1016
 
1.7%
174560 13
 
< 0.1%
160580 13
 
< 0.1%
242380 12
 
< 0.1%
190580 12
 
< 0.1%
172900 12
 
< 0.1%
221860 11
 
< 0.1%
169300 11
 
< 0.1%
260940 11
 
< 0.1%
Other values (11959) 28807
48.0%
(Missing) 27277
45.5%
ValueCountFrequency (%)
0 1016
1.7%
26080 2
 
< 0.1%
28880 2
 
< 0.1%
43020 1
 
< 0.1%
46280 1
 
< 0.1%
ValueCountFrequency (%)
1310700 2805
4.7%
1107500 1
 
< 0.1%
1011620 2
 
< 0.1%
961060 1
 
< 0.1%
958080 1
 
< 0.1%

bm_000
Real number (ℝ)

MISSING  ZEROS 

Distinct9037
Distinct (%)44.2%
Missing39549
Missing (%)65.9%
Infinite0
Infinite (%)0.0%
Mean399603.1676
Minimum0
Maximum1310700
Zeros1214
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:13.001438image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1172210
median239140
Q3369100
95-th percentile1310700
Maximum1310700
Range1310700
Interquartile range (IQR)196890

Descriptive statistics

Standard deviation407071.8466
Coefficient of variation (CV)1.01869024
Kurtosis1.013106152
Mean399603.1676
Median Absolute Deviation (MAD)83640
Skewness1.609164512
Sum8172284380
Variance1.657074883 × 1011
MonotonicityNot monotonic
2023-10-29T14:34:13.347855image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1310700 3181
 
5.3%
0 1214
 
2.0%
193240 13
 
< 0.1%
198100 10
 
< 0.1%
158620 9
 
< 0.1%
211320 9
 
< 0.1%
237100 9
 
< 0.1%
186020 8
 
< 0.1%
214400 8
 
< 0.1%
259560 8
 
< 0.1%
Other values (9027) 15982
26.6%
(Missing) 39549
65.9%
ValueCountFrequency (%)
0 1214
2.0%
23980 2
 
< 0.1%
33020 2
 
< 0.1%
35340 1
 
< 0.1%
47160 2
 
< 0.1%
ValueCountFrequency (%)
1310700 3181
5.3%
1096620 1
 
< 0.1%
972180 1
 
< 0.1%
968880 1
 
< 0.1%
963520 1
 
< 0.1%

bn_000
Real number (ℝ)

MISSING  ZEROS 

Distinct7096
Distinct (%)44.4%
Missing44009
Missing (%)73.3%
Infinite0
Infinite (%)0.0%
Mean463710.8336
Minimum0
Maximum1310700
Zeros1422
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:13.687397image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1171720
median251400
Q3493100
95-th percentile1310700
Maximum1310700
Range1310700
Interquartile range (IQR)321380

Descriptive statistics

Standard deviation464447.3417
Coefficient of variation (CV)1.001588292
Kurtosis-0.4179695851
Mean463710.8336
Median Absolute Deviation (MAD)106000
Skewness1.137404899
Sum7415199940
Variance2.157113333 × 1011
MonotonicityNot monotonic
2023-10-29T14:34:14.117445image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1310700 3507
 
5.8%
0 1422
 
2.4%
162980 9
 
< 0.1%
198080 9
 
< 0.1%
182360 9
 
< 0.1%
184040 9
 
< 0.1%
254940 8
 
< 0.1%
268420 8
 
< 0.1%
222060 8
 
< 0.1%
438120 8
 
< 0.1%
Other values (7086) 10994
 
18.3%
(Missing) 44009
73.3%
ValueCountFrequency (%)
0 1422
2.4%
33860 1
 
< 0.1%
43540 2
 
< 0.1%
43800 2
 
< 0.1%
51900 1
 
< 0.1%
ValueCountFrequency (%)
1310700 3507
5.8%
1110540 1
 
< 0.1%
996260 1
 
< 0.1%
917820 1
 
< 0.1%
910760 1
 
< 0.1%

bo_000
Real number (ℝ)

MISSING  ZEROS 

Distinct5838
Distinct (%)42.7%
Missing46333
Missing (%)77.2%
Infinite0
Infinite (%)0.0%
Mean513147.8203
Minimum0
Maximum1310700
Zeros1503
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:14.499720image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1170550
median270660
Q31310700
95-th percentile1310700
Maximum1310700
Range1310700
Interquartile range (IQR)1140150

Descriptive statistics

Standard deviation497353.6714
Coefficient of variation (CV)0.9692210542
Kurtosis-1.022829455
Mean513147.8203
Median Absolute Deviation (MAD)134800
Skewness0.8599896313
Sum7013191260
Variance2.473606744 × 1011
MonotonicityNot monotonic
2023-10-29T14:34:14.955829image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1310700 3657
 
6.1%
0 1503
 
2.5%
133900 8
 
< 0.1%
403280 7
 
< 0.1%
167040 7
 
< 0.1%
210260 7
 
< 0.1%
189700 7
 
< 0.1%
243560 7
 
< 0.1%
208740 7
 
< 0.1%
163240 7
 
< 0.1%
Other values (5828) 8450
 
14.1%
(Missing) 46333
77.2%
ValueCountFrequency (%)
0 1503
2.5%
45580 1
 
< 0.1%
51600 2
 
< 0.1%
58600 1
 
< 0.1%
59420 1
 
< 0.1%
ValueCountFrequency (%)
1310700 3657
6.1%
1017960 1
 
< 0.1%
1008940 1
 
< 0.1%
845300 1
 
< 0.1%
840820 1
 
< 0.1%

bp_000
Real number (ℝ)

MISSING  ZEROS 

Distinct4968
Distinct (%)40.5%
Missing47740
Missing (%)79.6%
Infinite0
Infinite (%)0.0%
Mean551389.7993
Minimum0
Maximum1310700
Zeros1612
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:15.298904image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1172170
median288320
Q31310700
95-th percentile1310700
Maximum1310700
Range1310700
Interquartile range (IQR)1138530

Descriptive statistics

Standard deviation519611.4472
Coefficient of variation (CV)0.9423668117
Kurtosis-1.344644583
Mean551389.7993
Median Absolute Deviation (MAD)169970
Skewness0.6660961985
Sum6760038940
Variance2.699960561 × 1011
MonotonicityNot monotonic
2023-10-29T14:34:15.650770image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1310700 3752
 
6.3%
0 1612
 
2.7%
241360 8
 
< 0.1%
161080 7
 
< 0.1%
409560 7
 
< 0.1%
289660 7
 
< 0.1%
235700 7
 
< 0.1%
168060 7
 
< 0.1%
216480 6
 
< 0.1%
271300 6
 
< 0.1%
Other values (4958) 6841
 
11.4%
(Missing) 47740
79.6%
ValueCountFrequency (%)
0 1612
2.7%
33000 2
 
< 0.1%
41500 1
 
< 0.1%
54040 1
 
< 0.1%
58940 2
 
< 0.1%
ValueCountFrequency (%)
1310700 3752
6.3%
1198460 1
 
< 0.1%
1080840 1
 
< 0.1%
907560 1
 
< 0.1%
880940 1
 
< 0.1%

bq_000
Real number (ℝ)

MISSING  ZEROS 

Distinct4276
Distinct (%)37.9%
Missing48722
Missing (%)81.2%
Infinite0
Infinite (%)0.0%
Mean582871.3229
Minimum0
Maximum1310700
Zeros1734
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:15.984535image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1170420
median305100
Q31310700
95-th percentile1310700
Maximum1310700
Range1310700
Interquartile range (IQR)1140280

Descriptive statistics

Standard deviation536697.0288
Coefficient of variation (CV)0.9207813245
Kurtosis-1.540933894
Mean582871.3229
Median Absolute Deviation (MAD)305100
Skewness0.5133081169
Sum6573622780
Variance2.880437007 × 1011
MonotonicityNot monotonic
2023-10-29T14:34:16.339759image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1310700 3824
 
6.4%
0 1734
 
2.9%
308480 7
 
< 0.1%
136780 7
 
< 0.1%
349100 7
 
< 0.1%
220000 6
 
< 0.1%
279520 6
 
< 0.1%
165940 5
 
< 0.1%
232140 5
 
< 0.1%
266700 5
 
< 0.1%
Other values (4266) 5672
 
9.5%
(Missing) 48722
81.2%
ValueCountFrequency (%)
0 1734
2.9%
13620 1
 
< 0.1%
28540 2
 
< 0.1%
47360 1
 
< 0.1%
64240 1
 
< 0.1%
ValueCountFrequency (%)
1310700 3824
6.4%
995440 1
 
< 0.1%
871460 1
 
< 0.1%
851020 1
 
< 0.1%
843180 1
 
< 0.1%

br_000
Real number (ℝ)

MISSING  ZEROS 

Distinct3806
Distinct (%)35.5%
Missing49264
Missing (%)82.1%
Infinite0
Infinite (%)0.0%
Mean604886.6133
Minimum0
Maximum1310700
Zeros1813
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:16.681872image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1169470
median320400
Q31310700
95-th percentile1310700
Maximum1310700
Range1310700
Interquartile range (IQR)1141230

Descriptive statistics

Standard deviation547227.8723
Coefficient of variation (CV)0.9046784312
Kurtosis-1.644686823
Mean604886.6133
Median Absolute Deviation (MAD)320400
Skewness0.4122135482
Sum6494062680
Variance2.994583443 × 1011
MonotonicityNot monotonic
2023-10-29T14:34:17.020568image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1310700 3886
 
6.5%
0 1813
 
3.0%
205800 8
 
< 0.1%
292360 7
 
< 0.1%
288400 7
 
< 0.1%
229360 6
 
< 0.1%
181280 6
 
< 0.1%
175700 6
 
< 0.1%
285980 6
 
< 0.1%
186200 5
 
< 0.1%
Other values (3796) 4986
 
8.3%
(Missing) 49264
82.1%
ValueCountFrequency (%)
0 1813
3.0%
40820 2
 
< 0.1%
43700 1
 
< 0.1%
57560 1
 
< 0.1%
59360 1
 
< 0.1%
ValueCountFrequency (%)
1310700 3886
6.5%
1020060 1
 
< 0.1%
889980 1
 
< 0.1%
873380 1
 
< 0.1%
849600 1
 
< 0.1%

bs_000
Real number (ℝ)

MISSING 

Distinct12834
Distinct (%)21.7%
Missing726
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean80360.54931
Minimum0
Maximum1037240
Zeros120
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:17.353590image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5560
Q117300
median50540
Q3118635
95-th percentile242147
Maximum1037240
Range1037240
Interquartile range (IQR)101335

Descriptive statistics

Standard deviation84512.75588
Coefficient of variation (CV)1.051669714
Kurtosis6.64968317
Mean80360.54931
Median Absolute Deviation (MAD)38980
Skewness2.006973737
Sum4763291200
Variance7142405906
MonotonicityNot monotonic
2023-10-29T14:34:17.708422image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 120
 
0.2%
8360 38
 
0.1%
10580 36
 
0.1%
6280 35
 
0.1%
7080 35
 
0.1%
7480 34
 
0.1%
6720 34
 
0.1%
11140 33
 
0.1%
9560 33
 
0.1%
12560 33
 
0.1%
Other values (12824) 58843
98.1%
(Missing) 726
 
1.2%
ValueCountFrequency (%)
0 120
0.2%
20 2
 
< 0.1%
40 1
 
< 0.1%
60 5
 
< 0.1%
80 5
 
< 0.1%
ValueCountFrequency (%)
1037240 1
< 0.1%
1034620 1
< 0.1%
963940 1
< 0.1%
934960 1
< 0.1%
881260 1
< 0.1%

bt_000
Real number (ℝ)

Distinct45480
Distinct (%)76.0%
Missing167
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean59416.50441
Minimum0
Maximum2746564.83
Zeros131
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:18.024799image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10.286
Q1862.83
median30839.86
Q348787.93
95-th percentile221147.4
Maximum2746564.83
Range2746564.83
Interquartile range (IQR)47925.1

Descriptive statistics

Standard deviation145446.4374
Coefficient of variation (CV)2.447913064
Kurtosis48.34900645
Mean59416.50441
Median Absolute Deviation (MAD)29379.39
Skewness6.118994357
Sum3555067709
Variance2.115466614 × 1010
MonotonicityNot monotonic
2023-10-29T14:34:18.332865image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 131
 
0.2%
8.4 13
 
< 0.1%
7.66 13
 
< 0.1%
7.69 13
 
< 0.1%
13.34 13
 
< 0.1%
7.44 13
 
< 0.1%
8.29 12
 
< 0.1%
9.22 12
 
< 0.1%
13.04 12
 
< 0.1%
8.65 12
 
< 0.1%
Other values (45470) 59589
99.3%
(Missing) 167
 
0.3%
ValueCountFrequency (%)
0 131
0.2%
0.01 2
 
< 0.1%
0.02 3
 
< 0.1%
0.03 6
 
< 0.1%
0.04 2
 
< 0.1%
ValueCountFrequency (%)
2746564.83 1
< 0.1%
2434708.9 1
< 0.1%
2316925.89 1
< 0.1%
2220447.33 2
< 0.1%
2111010.52 1
< 0.1%

bu_000
Real number (ℝ)

MISSING 

Distinct49349
Distinct (%)83.2%
Missing691
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean4515324.705
Minimum0
Maximum192871534
Zeros107
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:18.666234image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile18216
Q1105444
median2359656
Q33863322
95-th percentile16203037.2
Maximum192871534
Range192871534
Interquartile range (IQR)3757878

Descriptive statistics

Standard deviation10859903.84
Coefficient of variation (CV)2.405121348
Kurtosis43.82909786
Mean4515324.705
Median Absolute Deviation (MAD)2214662
Skewness5.878140945
Sum2.677993929 × 1011
Variance1.179375114 × 1014
MonotonicityNot monotonic
2023-10-29T14:34:19.338731image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 107
 
0.2%
14342 6
 
< 0.1%
19544 6
 
< 0.1%
27080 6
 
< 0.1%
20344 6
 
< 0.1%
2537146 6
 
< 0.1%
131080 6
 
< 0.1%
19402 6
 
< 0.1%
32252 5
 
< 0.1%
22964 5
 
< 0.1%
Other values (49339) 59150
98.6%
(Missing) 691
 
1.2%
ValueCountFrequency (%)
0 107
0.2%
4 1
 
< 0.1%
8 1
 
< 0.1%
34 1
 
< 0.1%
80 2
 
< 0.1%
ValueCountFrequency (%)
192871534 1
< 0.1%
174389278 1
< 0.1%
168863744 1
< 0.1%
156119556 1
< 0.1%
154053392 1
< 0.1%

bv_000
Real number (ℝ)

MISSING 

Distinct49346
Distinct (%)83.2%
Missing691
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean4515325.288
Minimum0
Maximum192871534
Zeros107
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:19.736397image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile18216
Q1105444
median2359656
Q33863322
95-th percentile16203037.2
Maximum192871534
Range192871534
Interquartile range (IQR)3757878

Descriptive statistics

Standard deviation10859904.5
Coefficient of variation (CV)2.405121184
Kurtosis43.82909011
Mean4515325.288
Median Absolute Deviation (MAD)2214662
Skewness5.878140555
Sum2.677994275 × 1011
Variance1.179375258 × 1014
MonotonicityNot monotonic
2023-10-29T14:34:20.094781image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 107
 
0.2%
19402 6
 
< 0.1%
27080 6
 
< 0.1%
20344 6
 
< 0.1%
19544 6
 
< 0.1%
2537146 6
 
< 0.1%
14342 6
 
< 0.1%
131080 6
 
< 0.1%
21296 5
 
< 0.1%
16872 5
 
< 0.1%
Other values (49336) 59150
98.6%
(Missing) 691
 
1.2%
ValueCountFrequency (%)
0 107
0.2%
4 1
 
< 0.1%
8 1
 
< 0.1%
34 1
 
< 0.1%
80 2
 
< 0.1%
ValueCountFrequency (%)
192871534 1
< 0.1%
174389278 1
< 0.1%
168863744 1
< 0.1%
156119556 1
< 0.1%
154053392 1
< 0.1%

bx_000
Real number (ℝ)

MISSING 

Distinct52848
Distinct (%)93.1%
Missing3257
Missing (%)5.4%
Infinite0
Infinite (%)0.0%
Mean4112218.097
Minimum172
Maximum186353854
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:20.473803image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum172
5-th percentile17770.4
Q189649
median2258824
Q33645960
95-th percentile13637090.6
Maximum186353854
Range186353682
Interquartile range (IQR)3556311

Descriptive statistics

Standard deviation10351538.5
Coefficient of variation (CV)2.517263981
Kurtosis50.0153045
Mean4112218.097
Median Absolute Deviation (MAD)2125348
Skewness6.324345032
Sum2.333395915 × 1011
Variance1.071543492 × 1014
MonotonicityNot monotonic
2023-10-29T14:34:20.877367image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202 31
 
0.1%
212 31
 
0.1%
218 30
 
0.1%
200 29
 
< 0.1%
224 28
 
< 0.1%
208 24
 
< 0.1%
220 23
 
< 0.1%
226 23
 
< 0.1%
214 22
 
< 0.1%
222 22
 
< 0.1%
Other values (52838) 56480
94.1%
(Missing) 3257
 
5.4%
ValueCountFrequency (%)
172 1
 
< 0.1%
176 2
 
< 0.1%
178 1
 
< 0.1%
180 4
< 0.1%
182 5
< 0.1%
ValueCountFrequency (%)
186353854 1
< 0.1%
162793482 1
< 0.1%
157403558 1
< 0.1%
154113680 1
< 0.1%
149270862 1
< 0.1%

by_000
Real number (ℝ)

ZEROS 

Distinct22627
Distinct (%)38.0%
Missing473
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean22028.93336
Minimum0
Maximum1002003
Zeros1224
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:21.344605image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile19
Q1216
median12628
Q320347.5
95-th percentile76920.9
Maximum1002003
Range1002003
Interquartile range (IQR)20131.5

Descriptive statistics

Standard deviation53992.82474
Coefficient of variation (CV)2.450995873
Kurtosis65.41624439
Mean22028.93336
Median Absolute Deviation (MAD)12241
Skewness6.974825247
Sum1311316316
Variance2915225123
MonotonicityNot monotonic
2023-10-29T14:34:21.844056image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1224
 
2.0%
26 466
 
0.8%
24 452
 
0.8%
23 422
 
0.7%
27 410
 
0.7%
25 403
 
0.7%
22 393
 
0.7%
21 388
 
0.6%
29 386
 
0.6%
28 374
 
0.6%
Other values (22617) 54609
91.0%
(Missing) 473
 
0.8%
ValueCountFrequency (%)
0 1224
2.0%
1 21
 
< 0.1%
2 27
 
< 0.1%
3 15
 
< 0.1%
4 24
 
< 0.1%
ValueCountFrequency (%)
1002003 2
< 0.1%
972651 1
< 0.1%
942741 1
< 0.1%
896392 1
< 0.1%
892557 1
< 0.1%

bz_000
Real number (ℝ)

MISSING  ZEROS 

Distinct16547
Distinct (%)28.9%
Missing2723
Missing (%)4.5%
Infinite0
Infinite (%)0.0%
Mean101960.8378
Minimum0
Maximum40542588
Zeros13841
Zeros (%)23.1%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:22.327852image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median1036
Q313674
95-th percentile393912
Maximum40542588
Range40542588
Interquartile range (IQR)13668

Descriptive statistics

Standard deviation628912.8951
Coefficient of variation (CV)6.168180929
Kurtosis593.743019
Mean101960.8378
Median Absolute Deviation (MAD)1036
Skewness18.63802379
Sum5840010906
Variance3.955314296 × 1011
MonotonicityNot monotonic
2023-10-29T14:34:22.826703image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 13841
 
23.1%
6 228
 
0.4%
12 211
 
0.4%
10 192
 
0.3%
4 184
 
0.3%
18 175
 
0.3%
16 174
 
0.3%
8 170
 
0.3%
20 160
 
0.3%
26 154
 
0.3%
Other values (16537) 41788
69.6%
(Missing) 2723
 
4.5%
ValueCountFrequency (%)
0 13841
23.1%
2 89
 
0.1%
4 184
 
0.3%
6 228
 
0.4%
8 170
 
0.3%
ValueCountFrequency (%)
40542588 1
< 0.1%
23451830 1
< 0.1%
20874672 1
< 0.1%
20241674 2
< 0.1%
19482452 1
< 0.1%

ca_000
Real number (ℝ)

MISSING 

Distinct28318
Distinct (%)50.9%
Missing4356
Missing (%)7.3%
Infinite0
Infinite (%)0.0%
Mean39168.81712
Minimum0
Maximum120956
Zeros109
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:23.315535image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1580
Q16886
median25436
Q368004.5
95-th percentile110100
Maximum120956
Range120956
Interquartile range (IQR)61118.5

Descriptive statistics

Standard deviation36748.30214
Coefficient of variation (CV)0.9382030105
Kurtosis-0.8346162997
Mean39168.81712
Median Absolute Deviation (MAD)22554
Skewness0.7221036938
Sum2179509660
Variance1350437710
MonotonicityNot monotonic
2023-10-29T14:34:23.778871image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 109
 
0.2%
1786 21
 
< 0.1%
1880 21
 
< 0.1%
1816 20
 
< 0.1%
1942 19
 
< 0.1%
1902 19
 
< 0.1%
2212 19
 
< 0.1%
1992 18
 
< 0.1%
1776 18
 
< 0.1%
1626 18
 
< 0.1%
Other values (28308) 55362
92.3%
(Missing) 4356
 
7.3%
ValueCountFrequency (%)
0 109
0.2%
2 3
 
< 0.1%
4 2
 
< 0.1%
8 1
 
< 0.1%
10 2
 
< 0.1%
ValueCountFrequency (%)
120956 1
< 0.1%
120954 1
< 0.1%
120944 1
< 0.1%
120942 1
< 0.1%
120940 2
< 0.1%

cb_000
Real number (ℝ)

MISSING 

Distinct30170
Distinct (%)50.9%
Missing726
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean405638.1479
Minimum0
Maximum1209520
Zeros109
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:24.211447image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile16900
Q177125
median278990
Q3704580
95-th percentile1106240
Maximum1209520
Range1209520
Interquartile range (IQR)627455

Descriptive statistics

Standard deviation369386.8016
Coefficient of variation (CV)0.9106313187
Kurtosis-0.9184621329
Mean405638.1479
Median Absolute Deviation (MAD)244370
Skewness0.6645684329
Sum2.404379558 × 1010
Variance1.364466092 × 1011
MonotonicityNot monotonic
2023-10-29T14:34:24.714365image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 109
 
0.2%
19920 21
 
< 0.1%
19340 20
 
< 0.1%
16040 20
 
< 0.1%
19480 18
 
< 0.1%
19020 18
 
< 0.1%
16720 18
 
< 0.1%
16480 18
 
< 0.1%
16640 18
 
< 0.1%
19000 17
 
< 0.1%
Other values (30160) 58997
98.3%
(Missing) 726
 
1.2%
ValueCountFrequency (%)
0 109
0.2%
20 1
 
< 0.1%
60 2
 
< 0.1%
120 2
 
< 0.1%
140 2
 
< 0.1%
ValueCountFrequency (%)
1209520 3
< 0.1%
1209500 5
< 0.1%
1209460 2
 
< 0.1%
1209440 1
 
< 0.1%
1209400 1
 
< 0.1%

cc_000
Real number (ℝ)

MISSING  ZEROS 

Distinct43859
Distinct (%)77.3%
Missing3255
Missing (%)5.4%
Infinite0
Infinite (%)0.0%
Mean3803443.563
Minimum0
Maximum148615188
Zeros878
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:25.189495image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5196.4
Q162416
median2108912
Q33364634
95-th percentile12491437.2
Maximum148615188
Range148615188
Interquartile range (IQR)3302218

Descriptive statistics

Standard deviation9625672.245
Coefficient of variation (CV)2.53077825
Kurtosis50.34631157
Mean3803443.563
Median Absolute Deviation (MAD)2004176
Skewness6.355293278
Sum2.15826405 × 1011
Variance9.265356617 × 1013
MonotonicityNot monotonic
2023-10-29T14:34:25.627848image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 878
 
1.5%
6640 11
 
< 0.1%
7018 8
 
< 0.1%
7200 8
 
< 0.1%
7522 8
 
< 0.1%
7384 8
 
< 0.1%
5202 8
 
< 0.1%
5838 8
 
< 0.1%
5722 8
 
< 0.1%
2384370 7
 
< 0.1%
Other values (43849) 55793
93.0%
(Missing) 3255
 
5.4%
ValueCountFrequency (%)
0 878
1.5%
10 1
 
< 0.1%
18 1
 
< 0.1%
22 1
 
< 0.1%
40 2
 
< 0.1%
ValueCountFrequency (%)
148615188 1
< 0.1%
144138156 1
< 0.1%
140692452 1
< 0.1%
139252410 1
< 0.1%
138876876 1
< 0.1%

ce_000
Real number (ℝ)

MISSING  ZEROS 

Distinct22075
Distinct (%)38.4%
Missing2502
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean64343.55682
Minimum0
Maximum4908098
Zeros11845
Zeros (%)19.7%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:26.116588image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1266
median3409
Q387235.5
95-th percentile229651.6
Maximum4908098
Range4908098
Interquartile range (IQR)86969.5

Descriptive statistics

Standard deviation142846.9437
Coefficient of variation (CV)2.220066013
Kurtosis115.5533162
Mean64343.55682
Median Absolute Deviation (MAD)3409
Skewness8.232865003
Sum3699625830
Variance2.040524931 × 1010
MonotonicityNot monotonic
2023-10-29T14:34:26.574628image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 11845
 
19.7%
244 54
 
0.1%
236 54
 
0.1%
204 52
 
0.1%
248 52
 
0.1%
302 50
 
0.1%
190 50
 
0.1%
220 49
 
0.1%
310 49
 
0.1%
308 47
 
0.1%
Other values (22065) 45196
75.3%
(Missing) 2502
 
4.2%
ValueCountFrequency (%)
0 11845
19.7%
2 31
 
0.1%
4 26
 
< 0.1%
6 3
 
< 0.1%
8 5
 
< 0.1%
ValueCountFrequency (%)
4908098 1
< 0.1%
3649658 1
< 0.1%
3267548 1
< 0.1%
3140226 1
< 0.1%
2895898 1
< 0.1%

cf_000
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct525
Distinct (%)1.2%
Missing14861
Missing (%)24.8%
Infinite0
Infinite (%)0.0%
Mean190221.811
Minimum0
Maximum8584297736
Zeros21468
Zeros (%)35.8%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:26.976191image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q32
95-th percentile8
Maximum8584297736
Range8584297736
Interquartile range (IQR)2

Descriptive statistics

Standard deviation40404413.16
Coefficient of variation (CV)212.4068368
Kurtosis45138.99986
Mean190221.811
Median Absolute Deviation (MAD)2
Skewness212.4594074
Sum8586422326
Variance1.632516603 × 1015
MonotonicityNot monotonic
2023-10-29T14:34:27.296812image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 21468
35.8%
2 17291
28.8%
4 2909
 
4.8%
6 842
 
1.4%
8 430
 
0.7%
10 235
 
0.4%
12 174
 
0.3%
14 116
 
0.2%
16 98
 
0.2%
18 80
 
0.1%
Other values (515) 1496
 
2.5%
(Missing) 14861
24.8%
ValueCountFrequency (%)
0 21468
35.8%
2 17291
28.8%
4 2909
 
4.8%
6 842
 
1.4%
8 430
 
0.7%
ValueCountFrequency (%)
8584297736 1
< 0.1%
223146 1
< 0.1%
140934 2
< 0.1%
84174 1
< 0.1%
50800 1
< 0.1%

cg_000
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct646
Distinct (%)1.4%
Missing14861
Missing (%)24.8%
Infinite0
Infinite (%)0.0%
Mean91.52041472
Minimum0
Maximum21400
Zeros2915
Zeros (%)4.9%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:27.626463image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median46
Q3104
95-th percentile258
Maximum21400
Range21400
Interquartile range (IQR)96

Descriptive statistics

Standard deviation371.7006839
Coefficient of variation (CV)4.061396411
Kurtosis1157.844859
Mean91.52041472
Median Absolute Deviation (MAD)42
Skewness29.61052342
Sum4131140
Variance138161.3984
MonotonicityNot monotonic
2023-10-29T14:34:27.934572image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 2935
 
4.9%
0 2915
 
4.9%
2 2805
 
4.7%
6 2462
 
4.1%
8 1771
 
3.0%
10 1378
 
2.3%
12 1163
 
1.9%
14 948
 
1.6%
16 715
 
1.2%
18 582
 
1.0%
Other values (636) 27465
45.8%
(Missing) 14861
24.8%
ValueCountFrequency (%)
0 2915
4.9%
2 2805
4.7%
4 2935
4.9%
6 2462
4.1%
8 1771
3.0%
ValueCountFrequency (%)
21400 1
< 0.1%
17512 2
< 0.1%
17362 1
< 0.1%
16280 1
< 0.1%
15704 1
< 0.1%

ch_000
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct2
Distinct (%)< 0.1%
Missing14861
Missing (%)24.8%
Infinite0
Infinite (%)0.0%
Mean0.0004430758324
Minimum0
Maximum2
Zeros45129
Zeros (%)75.2%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:28.224606image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.02976533179
Coefficient of variation (CV)67.17886558
Kurtosis4509.399841
Mean0.0004430758324
Median Absolute Deviation (MAD)0
Skewness67.16546761
Sum20
Variance0.0008859749764
MonotonicityNot monotonic
2023-10-29T14:34:28.458184image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 45129
75.2%
2 10
 
< 0.1%
(Missing) 14861
 
24.8%
ValueCountFrequency (%)
0 45129
75.2%
2 10
 
< 0.1%
ValueCountFrequency (%)
2 10
 
< 0.1%
0 45129
75.2%

ci_000
Real number (ℝ)

Distinct45964
Distinct (%)77.0%
Missing338
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean3481204.049
Minimum0
Maximum140986129.9
Zeros223
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:28.734809image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1856.64
Q148249.84
median1858641.12
Q32947265.52
95-th percentile12903488.78
Maximum140986129.9
Range140986129.9
Interquartile range (IQR)2899015.68

Descriptive statistics

Standard deviation8355996.96
Coefficient of variation (CV)2.400318063
Kurtosis43.01384145
Mean3481204.049
Median Absolute Deviation (MAD)1771120.8
Skewness5.836331523
Sum2.07695596 × 1011
Variance6.98226852 × 1013
MonotonicityNot monotonic
2023-10-29T14:34:29.040812image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 223
 
0.4%
1692.48 10
 
< 0.1%
1764.48 9
 
< 0.1%
1580.16 9
 
< 0.1%
1589.76 9
 
< 0.1%
1830.72 9
 
< 0.1%
1786.56 9
 
< 0.1%
1823.04 8
 
< 0.1%
2785.92 8
 
< 0.1%
2004.48 8
 
< 0.1%
Other values (45954) 59360
98.9%
(Missing) 338
 
0.6%
ValueCountFrequency (%)
0 223
0.4%
2.88 1
 
< 0.1%
3.84 1
 
< 0.1%
4.8 1
 
< 0.1%
8.64 1
 
< 0.1%
ValueCountFrequency (%)
140986129.9 1
< 0.1%
130878824.6 1
< 0.1%
124510239.4 2
< 0.1%
124201115.5 1
< 0.1%
119662891.2 1
< 0.1%

cj_000
Real number (ℝ)

SKEWED  ZEROS 

Distinct7617
Distinct (%)12.8%
Missing338
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean102841.8518
Minimum0
Maximum60949671.36
Zeros47122
Zeros (%)78.5%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:29.358804image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile74946.24
Maximum60949671.36
Range60949671.36
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1135173.872
Coefficient of variation (CV)11.03805359
Kurtosis670.9701982
Mean102841.8518
Median Absolute Deviation (MAD)0
Skewness22.10617672
Sum6135750562
Variance1.288619719 × 1012
MonotonicityNot monotonic
2023-10-29T14:34:29.717603image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 47122
78.5%
3.84 100
 
0.2%
2.88 100
 
0.2%
5.76 88
 
0.1%
6.72 86
 
0.1%
4.8 83
 
0.1%
11.52 77
 
0.1%
12.48 75
 
0.1%
9.6 73
 
0.1%
8.64 70
 
0.1%
Other values (7607) 11788
 
19.6%
(Missing) 338
 
0.6%
ValueCountFrequency (%)
0 47122
78.5%
0.96 45
 
0.1%
1.92 50
 
0.1%
2.88 100
 
0.2%
3.84 100
 
0.2%
ValueCountFrequency (%)
60949671.36 1
< 0.1%
53632624.32 2
< 0.1%
42908749.44 1
< 0.1%
40368893.76 1
< 0.1%
37061302.08 1
< 0.1%

ck_000
Real number (ℝ)

Distinct45043
Distinct (%)75.5%
Missing338
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean714342.7019
Minimum0
Maximum55428669.12
Zeros194
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:30.026073image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2739.84
Q114586.72
median250267.2
Q3549352.32
95-th percentile2630998.608
Maximum55428669.12
Range55428669.12
Interquartile range (IQR)534765.6

Descriptive statistics

Standard deviation2180714.298
Coefficient of variation (CV)3.052756461
Kurtosis108.6575741
Mean714342.7019
Median Absolute Deviation (MAD)238781.76
Skewness8.780390815
Sum4.261911428 × 1010
Variance4.755514851 × 1012
MonotonicityNot monotonic
2023-10-29T14:34:30.326266image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 194
 
0.3%
21732.48 9
 
< 0.1%
2868.48 8
 
< 0.1%
251350.08 8
 
< 0.1%
3518.4 8
 
< 0.1%
3408.96 8
 
< 0.1%
2170.56 8
 
< 0.1%
4022.4 7
 
< 0.1%
305040 7
 
< 0.1%
3405.12 7
 
< 0.1%
Other values (45033) 59398
99.0%
(Missing) 338
 
0.6%
ValueCountFrequency (%)
0 194
0.3%
2.88 1
 
< 0.1%
23.04 1
 
< 0.1%
24 1
 
< 0.1%
27.84 1
 
< 0.1%
ValueCountFrequency (%)
55428669.12 1
< 0.1%
51561397.44 1
< 0.1%
47910094.08 1
< 0.1%
44174304 1
< 0.1%
43815177.6 1
< 0.1%

cl_000
Real number (ℝ)

MISSING  ZEROS 

Distinct972
Distinct (%)1.9%
Missing9553
Missing (%)15.9%
Infinite0
Infinite (%)0.0%
Mean343.0188118
Minimum0
Maximum130560
Zeros36787
Zeros (%)61.3%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:30.984447image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile126
Maximum130560
Range130560
Interquartile range (IQR)2

Descriptive statistics

Standard deviation4706.738666
Coefficient of variation (CV)13.72151761
Kurtosis438.0346646
Mean343.0188118
Median Absolute Deviation (MAD)0
Skewness19.78762953
Sum17304270
Variance22153388.87
MonotonicityNot monotonic
2023-10-29T14:34:31.304397image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 36787
61.3%
2 2585
 
4.3%
4 1372
 
2.3%
6 839
 
1.4%
8 641
 
1.1%
10 490
 
0.8%
12 421
 
0.7%
14 337
 
0.6%
16 296
 
0.5%
18 249
 
0.4%
Other values (962) 6430
 
10.7%
(Missing) 9553
 
15.9%
ValueCountFrequency (%)
0 36787
61.3%
2 2585
 
4.3%
4 1372
 
2.3%
6 839
 
1.4%
8 641
 
1.1%
ValueCountFrequency (%)
130560 3
< 0.1%
130048 3
< 0.1%
129536 3
< 0.1%
128512 1
 
< 0.1%
127488 1
 
< 0.1%

cm_000
Real number (ℝ)

MISSING  ZEROS 

Distinct2123
Distinct (%)4.2%
Missing9877
Missing (%)16.5%
Infinite0
Infinite (%)0.0%
Mean343.102847
Minimum0
Maximum73370
Zeros24215
Zeros (%)40.4%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:31.616724image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8
Q3100
95-th percentile1349.8
Maximum73370
Range73370
Interquartile range (IQR)100

Descriptive statistics

Standard deviation1693.363532
Coefficient of variation (CV)4.93544005
Kurtosis369.7308571
Mean343.102847
Median Absolute Deviation (MAD)8
Skewness15.49952254
Sum17197344
Variance2867480.052
MonotonicityNot monotonic
2023-10-29T14:34:31.924052image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 24215
40.4%
12 837
 
1.4%
14 832
 
1.4%
16 819
 
1.4%
10 818
 
1.4%
18 730
 
1.2%
8 726
 
1.2%
20 627
 
1.0%
22 541
 
0.9%
24 487
 
0.8%
Other values (2113) 19491
32.5%
(Missing) 9877
16.5%
ValueCountFrequency (%)
0 24215
40.4%
2 59
 
0.1%
4 161
 
0.3%
6 443
 
0.7%
8 726
 
1.2%
ValueCountFrequency (%)
73370 1
< 0.1%
65080 1
< 0.1%
63852 1
< 0.1%
60038 1
< 0.1%
54024 1
< 0.1%

cn_000
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct1530
Distinct (%)2.6%
Missing687
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean2336.674186
Minimum0
Maximum6278490
Zeros57300
Zeros (%)95.5%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:32.246034image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum6278490
Range6278490
Interquartile range (IQR)0

Descriptive statistics

Standard deviation61183.83438
Coefficient of variation (CV)26.18415299
Kurtosis4131.331364
Mean2336.674186
Median Absolute Deviation (MAD)0
Skewness56.63762397
Sum138595156
Variance3743461590
MonotonicityNot monotonic
2023-10-29T14:34:32.564468image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 57300
95.5%
2 14
 
< 0.1%
10 9
 
< 0.1%
198 8
 
< 0.1%
14 7
 
< 0.1%
8 7
 
< 0.1%
30 6
 
< 0.1%
492 6
 
< 0.1%
4 5
 
< 0.1%
152 5
 
< 0.1%
Other values (1520) 1946
 
3.2%
(Missing) 687
 
1.1%
ValueCountFrequency (%)
0 57300
95.5%
2 14
 
< 0.1%
4 5
 
< 0.1%
6 2
 
< 0.1%
8 7
 
< 0.1%
ValueCountFrequency (%)
6278490 1
< 0.1%
4618596 1
< 0.1%
4540406 1
< 0.1%
4482120 1
< 0.1%
3772790 1
< 0.1%

cn_001
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct5419
Distinct (%)9.1%
Missing687
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean21951.49391
Minimum0
Maximum14512994
Zeros50464
Zeros (%)84.1%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:32.878576image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile18510
Maximum14512994
Range14512994
Interquartile range (IQR)0

Descriptive statistics

Standard deviation245799.3694
Coefficient of variation (CV)11.19738686
Kurtosis1154.616803
Mean21951.49391
Median Absolute Deviation (MAD)0
Skewness28.1940293
Sum1302008958
Variance6.041733001 × 1010
MonotonicityNot monotonic
2023-10-29T14:34:33.196438image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 50464
84.1%
2 33
 
0.1%
4 29
 
< 0.1%
14 24
 
< 0.1%
6 22
 
< 0.1%
10 21
 
< 0.1%
20 20
 
< 0.1%
8 19
 
< 0.1%
30 19
 
< 0.1%
22 17
 
< 0.1%
Other values (5409) 8645
 
14.4%
(Missing) 687
 
1.1%
ValueCountFrequency (%)
0 50464
84.1%
2 33
 
0.1%
4 29
 
< 0.1%
6 22
 
< 0.1%
8 19
 
< 0.1%
ValueCountFrequency (%)
14512994 1
< 0.1%
14451842 1
< 0.1%
13435892 1
< 0.1%
12766822 1
< 0.1%
11331434 1
< 0.1%

cn_002
Real number (ℝ)

MISSING  ZEROS 

Distinct14789
Distinct (%)24.9%
Missing687
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean161050.8754
Minimum0
Maximum58508606
Zeros30538
Zeros (%)50.9%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:33.552584image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q37936
95-th percentile495716.4
Maximum58508606
Range58508606
Interquartile range (IQR)7936

Descriptive statistics

Standard deviation1073892.806
Coefficient of variation (CV)6.668034583
Kurtosis393.9726363
Mean161050.8754
Median Absolute Deviation (MAD)0
Skewness15.48070916
Sum9552410570
Variance1.15324576 × 1012
MonotonicityNot monotonic
2023-10-29T14:34:33.884497image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 30538
50.9%
12 48
 
0.1%
6 44
 
0.1%
32 38
 
0.1%
4 38
 
0.1%
10 37
 
0.1%
22 36
 
0.1%
14 34
 
0.1%
16 33
 
0.1%
2 31
 
0.1%
Other values (14779) 28436
47.4%
(Missing) 687
 
1.1%
ValueCountFrequency (%)
0 30538
50.9%
2 31
 
0.1%
4 38
 
0.1%
6 44
 
0.1%
8 30
 
0.1%
ValueCountFrequency (%)
58508606 1
< 0.1%
40420570 1
< 0.1%
35892252 1
< 0.1%
34077460 1
< 0.1%
33460206 1
< 0.1%

cn_003
Real number (ℝ)

MISSING  ZEROS 

Distinct34110
Distinct (%)57.5%
Missing687
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean531477.9567
Minimum0
Maximum94979324
Zeros2594
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:34.246083image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile52
Q14622
median34994
Q3232066
95-th percentile2139655.6
Maximum94979324
Range94979324
Interquartile range (IQR)227444

Descriptive statistics

Standard deviation2216301.038
Coefficient of variation (CV)4.17007142
Kurtosis178.9446523
Mean531477.9567
Median Absolute Deviation (MAD)34290
Skewness10.62453557
Sum3.152355205 × 1010
Variance4.91199029 × 1012
MonotonicityNot monotonic
2023-10-29T14:34:34.546647image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2594
 
4.3%
24 27
 
< 0.1%
4 24
 
< 0.1%
2 21
 
< 0.1%
36 20
 
< 0.1%
10 20
 
< 0.1%
488 19
 
< 0.1%
12 18
 
< 0.1%
26 18
 
< 0.1%
6 17
 
< 0.1%
Other values (34100) 56535
94.2%
(Missing) 687
 
1.1%
ValueCountFrequency (%)
0 2594
4.3%
2 21
 
< 0.1%
4 24
 
< 0.1%
6 17
 
< 0.1%
8 13
 
< 0.1%
ValueCountFrequency (%)
94979324 1
< 0.1%
56869112 1
< 0.1%
51524698 1
< 0.1%
51319080 1
< 0.1%
50831840 1
< 0.1%

cn_004
Real number (ℝ)

MISSING  ZEROS 

Distinct42086
Distinct (%)71.0%
Missing687
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean1282835.142
Minimum0
Maximum169869316
Zeros1107
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:34.876074image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1378
Q119114
median518462
Q31207694
95-th percentile4663487.2
Maximum169869316
Range169869316
Interquartile range (IQR)1188580

Descriptive statistics

Standard deviation3357254.337
Coefficient of variation (CV)2.617058284
Kurtosis173.1474031
Mean1282835.142
Median Absolute Deviation (MAD)510492
Skewness8.920162713
Sum7.608880081 × 1010
Variance1.127115668 × 1013
MonotonicityNot monotonic
2023-10-29T14:34:35.213714image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1107
 
1.8%
1664 15
 
< 0.1%
1378 14
 
< 0.1%
1782 14
 
< 0.1%
2016 14
 
< 0.1%
1284 14
 
< 0.1%
1658 14
 
< 0.1%
1392 13
 
< 0.1%
1660 13
 
< 0.1%
1494 13
 
< 0.1%
Other values (42076) 58082
96.8%
(Missing) 687
 
1.1%
ValueCountFrequency (%)
0 1107
1.8%
4 2
 
< 0.1%
6 2
 
< 0.1%
8 1
 
< 0.1%
10 1
 
< 0.1%
ValueCountFrequency (%)
169869316 1
< 0.1%
82104320 1
< 0.1%
69159904 1
< 0.1%
56720282 1
< 0.1%
56404340 1
< 0.1%

cn_005
Real number (ℝ)

MISSING  ZEROS 

Distinct38554
Distinct (%)65.0%
Missing687
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean1341058.712
Minimum0
Maximum117815764
Zeros1175
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:35.547533image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile408
Q15028
median703524
Q31519808
95-th percentile4263966
Maximum117815764
Range117815764
Interquartile range (IQR)1514780

Descriptive statistics

Standard deviation3144659.174
Coefficient of variation (CV)2.344907904
Kurtosis113.1280947
Mean1341058.712
Median Absolute Deviation (MAD)700874
Skewness8.366444133
Sum7.954221541 × 1010
Variance9.888881323 × 1012
MonotonicityNot monotonic
2023-10-29T14:34:35.980092image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1175
 
2.0%
998 31
 
0.1%
502 31
 
0.1%
826 29
 
< 0.1%
890 28
 
< 0.1%
566 28
 
< 0.1%
464 28
 
< 0.1%
380 27
 
< 0.1%
954 27
 
< 0.1%
804 27
 
< 0.1%
Other values (38544) 57882
96.5%
(Missing) 687
 
1.1%
ValueCountFrequency (%)
0 1175
2.0%
2 2
 
< 0.1%
4 4
 
< 0.1%
6 1
 
< 0.1%
8 5
 
< 0.1%
ValueCountFrequency (%)
117815764 1
< 0.1%
64593988 1
< 0.1%
64592360 1
< 0.1%
61915066 1
< 0.1%
61879674 1
< 0.1%

cn_006
Real number (ℝ)

MISSING  ZEROS 

Distinct32426
Distinct (%)54.7%
Missing687
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean410564.0868
Minimum0
Maximum72080406
Zeros2726
Zeros (%)4.5%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:36.371300image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q1626
median96266
Q3449060
95-th percentile1478406.4
Maximum72080406
Range72080406
Interquartile range (IQR)448434

Descriptive statistics

Standard deviation1294208.06
Coefficient of variation (CV)3.152268067
Kurtosis598.3269137
Mean410564.0868
Median Absolute Deviation (MAD)96224
Skewness18.2066061
Sum2.435178768 × 1010
Variance1.674974503 × 1012
MonotonicityNot monotonic
2023-10-29T14:34:36.747612image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2726
 
4.5%
10 137
 
0.2%
4 128
 
0.2%
8 127
 
0.2%
14 126
 
0.2%
6 124
 
0.2%
16 118
 
0.2%
18 118
 
0.2%
30 112
 
0.2%
12 109
 
0.2%
Other values (32416) 55488
92.5%
(Missing) 687
 
1.1%
ValueCountFrequency (%)
0 2726
4.5%
2 94
 
0.2%
4 128
 
0.2%
6 124
 
0.2%
8 127
 
0.2%
ValueCountFrequency (%)
72080406 1
< 0.1%
64505744 1
< 0.1%
57327888 1
< 0.1%
53358100 1
< 0.1%
48999180 2
< 0.1%

cn_007
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct21996
Distinct (%)37.1%
Missing687
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean64425.13149
Minimum0
Maximum33143734
Zeros9289
Zeros (%)15.5%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:37.208896image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q162
median9976
Q331074
95-th percentile184615.2
Maximum33143734
Range33143734
Interquartile range (IQR)31012

Descriptive statistics

Standard deviation406454.0551
Coefficient of variation (CV)6.308936368
Kurtosis1303.61142
Mean64425.13149
Median Absolute Deviation (MAD)9976
Skewness26.95311766
Sum3821247824
Variance1.652048989 × 1011
MonotonicityNot monotonic
2023-10-29T14:34:37.665496image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9289
 
15.5%
6 337
 
0.6%
4 328
 
0.5%
8 319
 
0.5%
10 294
 
0.5%
14 271
 
0.5%
12 260
 
0.4%
16 248
 
0.4%
18 233
 
0.4%
20 230
 
0.4%
Other values (21986) 47504
79.2%
(Missing) 687
 
1.1%
ValueCountFrequency (%)
0 9289
15.5%
2 227
 
0.4%
4 328
 
0.5%
6 337
 
0.6%
8 319
 
0.5%
ValueCountFrequency (%)
33143734 1
< 0.1%
22267964 1
< 0.1%
19536640 1
< 0.1%
17399984 1
< 0.1%
16236436 1
< 0.1%

cn_008
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct10117
Distinct (%)17.1%
Missing687
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean19226.78718
Minimum0
Maximum7541716
Zeros15387
Zeros (%)25.6%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:38.125986image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1852
Q35286
95-th percentile27075.2
Maximum7541716
Range7541716
Interquartile range (IQR)5286

Descriptive statistics

Standard deviation186269.7261
Coefficient of variation (CV)9.688031826
Kurtosis572.2422678
Mean19226.78718
Median Absolute Deviation (MAD)1852
Skewness21.50761539
Sum1140398428
Variance3.469641087 × 1010
MonotonicityNot monotonic
2023-10-29T14:34:38.606488image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 15387
 
25.6%
4 404
 
0.7%
8 389
 
0.6%
6 382
 
0.6%
10 340
 
0.6%
12 327
 
0.5%
14 325
 
0.5%
2 297
 
0.5%
16 286
 
0.5%
18 280
 
0.5%
Other values (10107) 40896
68.2%
(Missing) 687
 
1.1%
ValueCountFrequency (%)
0 15387
25.6%
2 297
 
0.5%
4 404
 
0.7%
6 382
 
0.6%
8 389
 
0.6%
ValueCountFrequency (%)
7541716 1
 
< 0.1%
7176046 1
 
< 0.1%
7141888 1
 
< 0.1%
6805148 1
 
< 0.1%
6483358 3
< 0.1%

cn_009
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct3055
Distinct (%)5.2%
Missing687
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean7820.466609
Minimum0
Maximum36398374
Zeros25978
Zeros (%)43.3%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:39.117620image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median24
Q3294
95-th percentile2050.8
Maximum36398374
Range36398374
Interquartile range (IQR)294

Descriptive statistics

Standard deviation266492.7751
Coefficient of variation (CV)34.07632669
Kurtosis11952.8678
Mean7820.466609
Median Absolute Deviation (MAD)24
Skewness101.0758355
Sum463855336
Variance7.101839916 × 1010
MonotonicityNot monotonic
2023-10-29T14:34:39.587454image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 25978
43.3%
10 385
 
0.6%
8 361
 
0.6%
12 360
 
0.6%
4 354
 
0.6%
6 338
 
0.6%
16 303
 
0.5%
14 301
 
0.5%
18 284
 
0.5%
20 271
 
0.5%
Other values (3045) 30378
50.6%
(Missing) 687
 
1.1%
ValueCountFrequency (%)
0 25978
43.3%
2 238
 
0.4%
4 354
 
0.6%
6 338
 
0.6%
8 361
 
0.6%
ValueCountFrequency (%)
36398374 1
< 0.1%
30344368 1
< 0.1%
30344094 1
< 0.1%
17286402 1
< 0.1%
13271558 1
< 0.1%

co_000
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct1860
Distinct (%)4.1%
Missing14861
Missing (%)24.8%
Infinite0
Infinite (%)0.0%
Mean190515.5669
Minimum0
Maximum8584297742
Zeros12793
Zeros (%)21.3%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:40.084960image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8
Q372
95-th percentile1266
Maximum8584297742
Range8584297742
Interquartile range (IQR)72

Descriptive statistics

Standard deviation40404411.9
Coefficient of variation (CV)212.0793201
Kurtosis45138.99943
Mean190515.5669
Median Absolute Deviation (MAD)8
Skewness212.4594059
Sum8599682176
Variance1.632516501 × 1015
MonotonicityNot monotonic
2023-10-29T14:34:40.568843image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12793
21.3%
2 4169
 
6.9%
4 2524
 
4.2%
6 1939
 
3.2%
8 1547
 
2.6%
10 1212
 
2.0%
12 1010
 
1.7%
14 870
 
1.5%
16 698
 
1.2%
18 611
 
1.0%
Other values (1850) 17766
29.6%
(Missing) 14861
24.8%
ValueCountFrequency (%)
0 12793
21.3%
2 4169
 
6.9%
4 2524
 
4.2%
6 1939
 
3.2%
8 1547
 
2.6%
ValueCountFrequency (%)
8584297742 1
< 0.1%
317378 1
< 0.1%
242662 2
< 0.1%
158076 1
< 0.1%
133188 1
< 0.1%

cp_000
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct2315
Distinct (%)4.0%
Missing2724
Missing (%)4.5%
Infinite0
Infinite (%)0.0%
Mean570.404288
Minimum0
Maximum496360
Zeros9537
Zeros (%)15.9%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:41.021589image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median14
Q382
95-th percentile1386
Maximum496360
Range496360
Interquartile range (IQR)78

Descriptive statistics

Standard deviation7773.264479
Coefficient of variation (CV)13.62764033
Kurtosis1933.446045
Mean570.404288
Median Absolute Deviation (MAD)14
Skewness39.88949243
Sum32670476
Variance60423640.66
MonotonicityNot monotonic
2023-10-29T14:34:41.507450image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9537
 
15.9%
4 4966
 
8.3%
6 4693
 
7.8%
8 3245
 
5.4%
10 2506
 
4.2%
12 2061
 
3.4%
14 1620
 
2.7%
16 1337
 
2.2%
18 1192
 
2.0%
20 1057
 
1.8%
Other values (2305) 25062
41.8%
(Missing) 2724
 
4.5%
ValueCountFrequency (%)
0 9537
15.9%
2 279
 
0.5%
4 4966
8.3%
6 4693
7.8%
8 3245
 
5.4%
ValueCountFrequency (%)
496360 1
< 0.1%
488198 1
< 0.1%
474944 1
< 0.1%
446032 1
< 0.1%
429758 1
< 0.1%

cq_000
Real number (ℝ)

MISSING 

Distinct49347
Distinct (%)83.2%
Missing691
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean4515325.18
Minimum0
Maximum192871534
Zeros107
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:42.314806image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile18216
Q1105444
median2359656
Q33863322
95-th percentile16203037.2
Maximum192871534
Range192871534
Interquartile range (IQR)3757878

Descriptive statistics

Standard deviation10859904.09
Coefficient of variation (CV)2.40512115
Kurtosis43.8290938
Mean4515325.18
Median Absolute Deviation (MAD)2214662
Skewness5.87814069
Sum2.677994211 × 1011
Variance1.179375169 × 1014
MonotonicityNot monotonic
2023-10-29T14:34:42.808507image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 107
 
0.2%
20344 6
 
< 0.1%
19402 6
 
< 0.1%
19544 6
 
< 0.1%
27080 6
 
< 0.1%
2537146 6
 
< 0.1%
14342 6
 
< 0.1%
131080 6
 
< 0.1%
22964 5
 
< 0.1%
27790 5
 
< 0.1%
Other values (49337) 59150
98.6%
(Missing) 691
 
1.2%
ValueCountFrequency (%)
0 107
0.2%
4 1
 
< 0.1%
8 1
 
< 0.1%
34 1
 
< 0.1%
80 2
 
< 0.1%
ValueCountFrequency (%)
192871534 1
< 0.1%
174389278 1
< 0.1%
168863744 1
< 0.1%
156119556 1
< 0.1%
154053392 1
< 0.1%

cr_000
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct74
Distinct (%)0.5%
Missing46329
Missing (%)77.2%
Infinite0
Infinite (%)0.0%
Mean37.06298003
Minimum0
Maximum57450
Zeros13592
Zeros (%)22.7%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:43.154712image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum57450
Range57450
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1027.001381
Coefficient of variation (CV)27.70962777
Kurtosis1816.209623
Mean37.06298003
Median Absolute Deviation (MAD)0
Skewness40.12575497
Sum506688
Variance1054731.836
MonotonicityNot monotonic
2023-10-29T14:34:43.476697image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 13592
 
22.7%
44 3
 
< 0.1%
3750 2
 
< 0.1%
52 2
 
< 0.1%
1416 2
 
< 0.1%
54 2
 
< 0.1%
1724 1
 
< 0.1%
460 1
 
< 0.1%
502 1
 
< 0.1%
2632 1
 
< 0.1%
Other values (64) 64
 
0.1%
(Missing) 46329
77.2%
ValueCountFrequency (%)
0 13592
22.7%
4 1
 
< 0.1%
10 1
 
< 0.1%
22 1
 
< 0.1%
28 1
 
< 0.1%
ValueCountFrequency (%)
57450 1
< 0.1%
47500 1
< 0.1%
47118 1
< 0.1%
43414 1
< 0.1%
38078 1
< 0.1%

cs_000
Real number (ℝ)

MISSING  ZEROS 

Distinct9297
Distinct (%)15.7%
Missing669
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean5479.857073
Minimum0
Maximum839240
Zeros1090
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:43.827623image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile156
Q11232
median3192
Q35686
95-th percentile17639
Maximum839240
Range839240
Interquartile range (IQR)4454

Descriptive statistics

Standard deviation10313.97772
Coefficient of variation (CV)1.882161813
Kurtosis765.6577363
Mean5479.857073
Median Absolute Deviation (MAD)2034
Skewness14.26017178
Sum325125400
Variance106378136.5
MonotonicityNot monotonic
2023-10-29T14:34:44.144511image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1090
 
1.8%
1132 86
 
0.1%
1148 84
 
0.1%
1144 73
 
0.1%
1186 73
 
0.1%
1134 72
 
0.1%
1164 72
 
0.1%
1136 71
 
0.1%
1080 70
 
0.1%
1078 70
 
0.1%
Other values (9287) 57570
96.0%
(Missing) 669
 
1.1%
ValueCountFrequency (%)
0 1090
1.8%
2 5
 
< 0.1%
4 6
 
< 0.1%
6 11
 
< 0.1%
8 20
 
< 0.1%
ValueCountFrequency (%)
839240 1
< 0.1%
187942 1
< 0.1%
185128 1
< 0.1%
170874 1
< 0.1%
159026 1
< 0.1%

cs_001
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct3343
Distinct (%)5.6%
Missing669
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean788.4255448
Minimum0
Maximum438806
Zeros1255
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:44.476630image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q132
median360
Q3692
95-th percentile2708
Maximum438806
Range438806
Interquartile range (IQR)660

Descriptive statistics

Standard deviation2886.331336
Coefficient of variation (CV)3.660880035
Kurtosis9310.084168
Mean788.4255448
Median Absolute Deviation (MAD)328
Skewness67.9359106
Sum46778076
Variance8330908.582
MonotonicityNot monotonic
2023-10-29T14:34:44.778342image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1255
 
2.1%
12 1248
 
2.1%
14 1208
 
2.0%
16 1175
 
2.0%
10 1166
 
1.9%
8 1093
 
1.8%
18 1068
 
1.8%
20 940
 
1.6%
22 877
 
1.5%
6 872
 
1.5%
Other values (3333) 48429
80.7%
ValueCountFrequency (%)
0 1255
2.1%
2 325
 
0.5%
4 577
1.0%
6 872
1.5%
8 1093
1.8%
ValueCountFrequency (%)
438806 1
< 0.1%
186244 1
< 0.1%
111504 1
< 0.1%
98846 1
< 0.1%
56156 1
< 0.1%

cs_002
Real number (ℝ)

MISSING  ZEROS 

Distinct28277
Distinct (%)47.7%
Missing669
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean238810.6447
Minimum0
Maximum46085940
Zeros1168
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:45.087603image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12
Q1222
median20570
Q394924
95-th percentile812375
Maximum46085940
Range46085940
Interquartile range (IQR)94702

Descriptive statistics

Standard deviation1215538.095
Coefficient of variation (CV)5.089966138
Kurtosis266.7129331
Mean238810.6447
Median Absolute Deviation (MAD)20552
Skewness13.62718717
Sum1.416887436 × 1010
Variance1.477532859 × 1012
MonotonicityNot monotonic
2023-10-29T14:34:45.401547image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1168
 
1.9%
12 708
 
1.2%
18 668
 
1.1%
16 648
 
1.1%
14 642
 
1.1%
20 631
 
1.1%
10 571
 
1.0%
22 519
 
0.9%
24 472
 
0.8%
8 465
 
0.8%
Other values (28267) 52839
88.1%
(Missing) 669
 
1.1%
ValueCountFrequency (%)
0 1168
1.9%
2 134
 
0.2%
4 211
 
0.4%
6 339
 
0.6%
8 465
 
0.8%
ValueCountFrequency (%)
46085940 1
< 0.1%
43867336 1
< 0.1%
37210434 1
< 0.1%
34633754 1
< 0.1%
33562516 1
< 0.1%

cs_003
Real number (ℝ)

MISSING  ZEROS 

Distinct35193
Distinct (%)59.3%
Missing669
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean355373.1153
Minimum0
Maximum42421854
Zeros1205
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:45.724626image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q13079
median121780
Q3295909
95-th percentile1305021
Maximum42421854
Range42421854
Interquartile range (IQR)292830

Descriptive statistics

Standard deviation1110963.714
Coefficient of variation (CV)3.126189535
Kurtosis200.1963444
Mean355373.1153
Median Absolute Deviation (MAD)120556
Skewness11.15715336
Sum2.10846423 × 1010
Variance1.234240374 × 1012
MonotonicityNot monotonic
2023-10-29T14:34:46.044669image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1205
 
2.0%
8 485
 
0.8%
6 453
 
0.8%
10 446
 
0.7%
12 378
 
0.6%
14 345
 
0.6%
4 341
 
0.6%
16 290
 
0.5%
18 235
 
0.4%
2 231
 
0.4%
Other values (35183) 54922
91.5%
(Missing) 669
 
1.1%
ValueCountFrequency (%)
0 1205
2.0%
2 231
 
0.4%
4 341
 
0.6%
6 453
 
0.8%
8 485
0.8%
ValueCountFrequency (%)
42421854 1
< 0.1%
36428140 1
< 0.1%
30972766 1
< 0.1%
30858842 1
< 0.1%
30249302 2
< 0.1%

cs_004
Real number (ℝ)

MISSING  ZEROS 

Distinct34558
Distinct (%)58.2%
Missing669
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean444228.2766
Minimum0
Maximum74860628
Zeros1223
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:46.340353image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile62
Q12726
median91080
Q3208500
95-th percentile1361897
Maximum74860628
Range74860628
Interquartile range (IQR)205774

Descriptive statistics

Standard deviation2073936.552
Coefficient of variation (CV)4.668627959
Kurtosis217.6414387
Mean444228.2766
Median Absolute Deviation (MAD)89348
Skewness12.18809867
Sum2.635650788 × 1010
Variance4.301212822 × 1012
MonotonicityNot monotonic
2023-10-29T14:34:46.657940image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1223
 
2.0%
4 189
 
0.3%
2 153
 
0.3%
6 134
 
0.2%
10 122
 
0.2%
8 119
 
0.2%
12 91
 
0.2%
14 81
 
0.1%
16 73
 
0.1%
20 63
 
0.1%
Other values (34548) 57083
95.1%
(Missing) 669
 
1.1%
ValueCountFrequency (%)
0 1223
2.0%
2 153
 
0.3%
4 189
 
0.3%
6 134
 
0.2%
8 119
 
0.2%
ValueCountFrequency (%)
74860628 1
< 0.1%
72588192 1
< 0.1%
65925498 1
< 0.1%
56359764 1
< 0.1%
56088862 1
< 0.1%

cs_005
Real number (ℝ)

MISSING  ZEROS 

Distinct42558
Distinct (%)71.7%
Missing669
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean2235386.661
Minimum0
Maximum379142116
Zeros1130
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:46.984705image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile838
Q119186
median1220860
Q32049318
95-th percentile8003348
Maximum379142116
Range379142116
Interquartile range (IQR)2030132

Descriptive statistics

Standard deviation5613544.602
Coefficient of variation (CV)2.511218618
Kurtosis389.5388122
Mean2235386.661
Median Absolute Deviation (MAD)1185526
Skewness10.8857962
Sum1.32627726 × 1011
Variance3.1511883 × 1013
MonotonicityNot monotonic
2023-10-29T14:34:47.304588image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1130
 
1.9%
2 22
 
< 0.1%
726 17
 
< 0.1%
1070 16
 
< 0.1%
764 15
 
< 0.1%
988 14
 
< 0.1%
556 14
 
< 0.1%
1024 14
 
< 0.1%
4 14
 
< 0.1%
1168 13
 
< 0.1%
Other values (42548) 58062
96.8%
(Missing) 669
 
1.1%
ValueCountFrequency (%)
0 1130
1.9%
2 22
 
< 0.1%
4 14
 
< 0.1%
6 4
 
< 0.1%
8 2
 
< 0.1%
ValueCountFrequency (%)
379142116 1
< 0.1%
105583256 1
< 0.1%
87039910 1
< 0.1%
86445752 1
< 0.1%
85703584 2
< 0.1%

cs_006
Real number (ℝ)

MISSING  ZEROS 

Distinct40916
Distinct (%)69.0%
Missing669
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean545774.1763
Minimum0
Maximum73741974
Zeros1122
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:47.639775image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile630
Q113360
median240744
Q3686260
95-th percentile1902101
Maximum73741974
Range73741974
Interquartile range (IQR)672900

Descriptive statistics

Standard deviation1168199.158
Coefficient of variation (CV)2.140444179
Kurtosis587.0522367
Mean545774.1763
Median Absolute Deviation (MAD)237540
Skewness14.73405819
Sum3.238132765 × 1010
Variance1.364689274 × 1012
MonotonicityNot monotonic
2023-10-29T14:34:47.954803image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1122
 
1.9%
62 15
 
< 0.1%
322 15
 
< 0.1%
160 14
 
< 0.1%
356 14
 
< 0.1%
276 13
 
< 0.1%
1898 13
 
< 0.1%
692 13
 
< 0.1%
358 13
 
< 0.1%
320 13
 
< 0.1%
Other values (40906) 58086
96.8%
(Missing) 669
 
1.1%
ValueCountFrequency (%)
0 1122
1.9%
2 3
 
< 0.1%
4 6
 
< 0.1%
6 4
 
< 0.1%
8 5
 
< 0.1%
ValueCountFrequency (%)
73741974 1
< 0.1%
71425646 1
< 0.1%
32527058 1
< 0.1%
32076072 1
< 0.1%
31422756 1
< 0.1%

cs_007
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct17300
Distinct (%)29.2%
Missing669
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean14771.41747
Minimum0
Maximum12884218
Zeros5107
Zeros (%)8.5%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:48.275071image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11204
median6104
Q318164
95-th percentile50328
Maximum12884218
Range12884218
Interquartile range (IQR)16960

Descriptive statistics

Standard deviation80051.21983
Coefficient of variation (CV)5.419332301
Kurtosis22525.57399
Mean14771.41747
Median Absolute Deviation (MAD)5730
Skewness140.7322936
Sum876402970
Variance6408197796
MonotonicityNot monotonic
2023-10-29T14:34:48.642004image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5107
 
8.5%
2 216
 
0.4%
4 125
 
0.2%
6 92
 
0.2%
8 82
 
0.1%
10 66
 
0.1%
14 50
 
0.1%
18 44
 
0.1%
12 43
 
0.1%
20 37
 
0.1%
Other values (17290) 53469
89.1%
(Missing) 669
 
1.1%
ValueCountFrequency (%)
0 5107
8.5%
2 216
 
0.4%
4 125
 
0.2%
6 92
 
0.2%
8 82
 
0.1%
ValueCountFrequency (%)
12884218 2
< 0.1%
1754970 1
< 0.1%
1444810 1
< 0.1%
1305056 1
< 0.1%
1018910 1
< 0.1%

cs_008
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct773
Distinct (%)1.3%
Missing669
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean211.7473496
Minimum0
Maximum1584558
Zeros14043
Zeros (%)23.4%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:48.984635image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median46
Q3148
95-th percentile434
Maximum1584558
Range1584558
Interquartile range (IQR)146

Descriptive statistics

Standard deviation10153.36733
Coefficient of variation (CV)47.95038684
Kurtosis15806.73878
Mean211.7473496
Median Absolute Deviation (MAD)46
Skewness121.5639164
Sum12563182
Variance103090868.1
MonotonicityNot monotonic
2023-10-29T14:34:49.312511image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14043
 
23.4%
2 2124
 
3.5%
4 1375
 
2.3%
6 1110
 
1.8%
8 927
 
1.5%
10 770
 
1.3%
12 674
 
1.1%
16 664
 
1.1%
14 653
 
1.1%
20 579
 
1.0%
Other values (763) 36412
60.7%
(Missing) 669
 
1.1%
ValueCountFrequency (%)
0 14043
23.4%
2 2124
 
3.5%
4 1375
 
2.3%
6 1110
 
1.8%
8 927
 
1.5%
ValueCountFrequency (%)
1584558 1
< 0.1%
1065342 2
< 0.1%
1010566 1
< 0.1%
440748 1
< 0.1%
337352 1
< 0.1%

cs_009
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct53
Distinct (%)0.1%
Missing669
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean779.197755
Minimum0
Maximum44902992
Zeros56427
Zeros (%)94.0%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:49.686082image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum44902992
Range44902992
Interquartile range (IQR)0

Descriptive statistics

Standard deviation184358.4781
Coefficient of variation (CV)236.6003713
Kurtosis59315.21737
Mean779.197755
Median Absolute Deviation (MAD)0
Skewness243.5311773
Sum46230582
Variance3.398804846 × 1010
MonotonicityNot monotonic
2023-10-29T14:34:49.986341image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 56427
94.0%
2 1599
 
2.7%
4 592
 
1.0%
6 247
 
0.4%
8 136
 
0.2%
10 82
 
0.1%
12 62
 
0.1%
16 36
 
0.1%
14 25
 
< 0.1%
18 18
 
< 0.1%
Other values (43) 107
 
0.2%
(Missing) 669
 
1.1%
ValueCountFrequency (%)
0 56427
94.0%
2 1599
 
2.7%
4 592
 
1.0%
6 247
 
0.4%
8 136
 
0.2%
ValueCountFrequency (%)
44902992 1
< 0.1%
402502 1
< 0.1%
190328 2
< 0.1%
95968 1
< 0.1%
82200 2
< 0.1%

ct_000
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct2617
Distinct (%)5.7%
Missing13808
Missing (%)23.0%
Infinite0
Infinite (%)0.0%
Mean749.0912712
Minimum0
Maximum910366
Zeros2186
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:50.332763image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q140
median210
Q3672
95-th percentile2540
Maximum910366
Range910366
Interquartile range (IQR)632

Descriptive statistics

Standard deviation5585.953186
Coefficient of variation (CV)7.456972736
Kurtosis15847.51006
Mean749.0912712
Median Absolute Deviation (MAD)196
Skewness107.0310609
Sum34602024
Variance31202873
MonotonicityNot monotonic
2023-10-29T14:34:50.626878image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2186
 
3.6%
2 737
 
1.2%
4 710
 
1.2%
6 669
 
1.1%
8 602
 
1.0%
10 561
 
0.9%
12 545
 
0.9%
16 516
 
0.9%
14 508
 
0.8%
20 488
 
0.8%
Other values (2607) 38670
64.5%
(Missing) 13808
 
23.0%
ValueCountFrequency (%)
0 2186
3.6%
2 737
 
1.2%
4 710
 
1.2%
6 669
 
1.1%
8 602
 
1.0%
ValueCountFrequency (%)
910366 1
< 0.1%
310022 1
< 0.1%
307016 1
< 0.1%
285558 1
< 0.1%
191958 1
< 0.1%

cu_000
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct3519
Distinct (%)7.6%
Missing13808
Missing (%)23.0%
Infinite0
Infinite (%)0.0%
Mean1222.960989
Minimum0
Maximum733688
Zeros2160
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:50.927296image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q182
median278
Q3856
95-th percentile4133.4
Maximum733688
Range733688
Interquartile range (IQR)774

Descriptive statistics

Standard deviation7633.440865
Coefficient of variation (CV)6.241769716
Kurtosis2849.300169
Mean1222.960989
Median Absolute Deviation (MAD)250
Skewness43.84906245
Sum56491014
Variance58269419.44
MonotonicityNot monotonic
2023-10-29T14:34:51.265956image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2160
 
3.6%
2 446
 
0.7%
6 416
 
0.7%
8 404
 
0.7%
4 403
 
0.7%
10 345
 
0.6%
14 345
 
0.6%
12 344
 
0.6%
16 273
 
0.5%
20 256
 
0.4%
Other values (3509) 40800
68.0%
(Missing) 13808
 
23.0%
ValueCountFrequency (%)
0 2160
3.6%
2 446
 
0.7%
4 403
 
0.7%
6 416
 
0.7%
8 404
 
0.7%
ValueCountFrequency (%)
733688 1
< 0.1%
388920 2
< 0.1%
385716 1
< 0.1%
369434 1
< 0.1%
349648 1
< 0.1%

cv_000
Real number (ℝ)

MISSING  ZEROS 

Distinct32928
Distinct (%)71.3%
Missing13808
Missing (%)23.0%
Infinite0
Infinite (%)0.0%
Mean1928824.893
Minimum0
Maximum81610510
Zeros1029
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:51.926699image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1190
Q123898.5
median1181117
Q32400717
95-th percentile6392004.3
Maximum81610510
Range81610510
Interquartile range (IQR)2376818.5

Descriptive statistics

Standard deviation3660900.677
Coefficient of variation (CV)1.897995349
Kurtosis78.5381804
Mean1928824.893
Median Absolute Deviation (MAD)1163095
Skewness7.031644254
Sum8.909627947 × 1010
Variance1.340219377 × 1013
MonotonicityNot monotonic
2023-10-29T14:34:52.258896image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1029
 
1.7%
2280 12
 
< 0.1%
1410 12
 
< 0.1%
2038 12
 
< 0.1%
1782 11
 
< 0.1%
1436 11
 
< 0.1%
1190 11
 
< 0.1%
1346 11
 
< 0.1%
1442 10
 
< 0.1%
1846 10
 
< 0.1%
Other values (32918) 45063
75.1%
(Missing) 13808
 
23.0%
ValueCountFrequency (%)
0 1029
1.7%
2 1
 
< 0.1%
6 1
 
< 0.1%
8 1
 
< 0.1%
12 1
 
< 0.1%
ValueCountFrequency (%)
81610510 1
 
< 0.1%
73038910 1
 
< 0.1%
70830702 1
 
< 0.1%
68669536 3
< 0.1%
67368946 1
 
< 0.1%

cx_000
Real number (ℝ)

MISSING  ZEROS 

Distinct25236
Distinct (%)54.6%
Missing13808
Missing (%)23.0%
Infinite0
Infinite (%)0.0%
Mean351510.2362
Minimum0
Maximum44105494
Zeros1638
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:52.596523image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile24
Q1944
median44465
Q3126794
95-th percentile1350994
Maximum44105494
Range44105494
Interquartile range (IQR)125850

Descriptive statistics

Standard deviation1512775.913
Coefficient of variation (CV)4.303646828
Kurtosis185.4585063
Mean351510.2362
Median Absolute Deviation (MAD)44319
Skewness11.26255314
Sum1.623696083 × 1010
Variance2.288490963 × 1012
MonotonicityNot monotonic
2023-10-29T14:34:53.056474image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1638
 
2.7%
60 172
 
0.3%
70 169
 
0.3%
56 162
 
0.3%
52 160
 
0.3%
40 155
 
0.3%
64 154
 
0.3%
68 152
 
0.3%
38 150
 
0.2%
34 147
 
0.2%
Other values (25226) 43133
71.9%
(Missing) 13808
 
23.0%
ValueCountFrequency (%)
0 1638
2.7%
2 8
 
< 0.1%
4 34
 
0.1%
6 39
 
0.1%
8 51
 
0.1%
ValueCountFrequency (%)
44105494 1
< 0.1%
43667824 1
< 0.1%
42612904 1
< 0.1%
42211382 1
< 0.1%
35563282 1
< 0.1%

cy_000
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct748
Distinct (%)1.6%
Missing13808
Missing (%)23.0%
Infinite0
Infinite (%)0.0%
Mean274.1793384
Minimum0
Maximum931472
Zeros39509
Zeros (%)65.8%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:53.476538image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile74
Maximum931472
Range931472
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8804.140498
Coefficient of variation (CV)32.11088242
Kurtosis5229.421539
Mean274.1793384
Median Absolute Deviation (MAD)0
Skewness65.34191581
Sum12664892
Variance77512889.9
MonotonicityNot monotonic
2023-10-29T14:34:53.914557image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 39509
65.8%
16 170
 
0.3%
22 170
 
0.3%
54 168
 
0.3%
52 158
 
0.3%
24 155
 
0.3%
14 151
 
0.3%
26 150
 
0.2%
12 150
 
0.2%
56 141
 
0.2%
Other values (738) 5270
 
8.8%
(Missing) 13808
 
23.0%
ValueCountFrequency (%)
0 39509
65.8%
2 65
 
0.1%
4 67
 
0.1%
6 72
 
0.1%
8 76
 
0.1%
ValueCountFrequency (%)
931472 1
< 0.1%
742856 1
< 0.1%
619760 1
< 0.1%
550080 1
< 0.1%
478810 1
< 0.1%

cz_000
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct10727
Distinct (%)23.2%
Missing13808
Missing (%)23.0%
Infinite0
Infinite (%)0.0%
Mean19374.29048
Minimum0
Maximum19156530
Zeros9114
Zeros (%)15.2%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:54.317362image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median202
Q36343
95-th percentile73823
Maximum19156530
Range19156530
Interquartile range (IQR)6339

Descriptive statistics

Standard deviation247184.3127
Coefficient of variation (CV)12.75836723
Kurtosis3552.46345
Mean19374.29048
Median Absolute Deviation (MAD)202
Skewness55.75708828
Sum894937226
Variance6.110008447 × 1010
MonotonicityNot monotonic
2023-10-29T14:34:54.826066image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9114
 
15.2%
2 1645
 
2.7%
4 955
 
1.6%
6 677
 
1.1%
8 631
 
1.1%
10 575
 
1.0%
12 504
 
0.8%
14 485
 
0.8%
16 432
 
0.7%
18 362
 
0.6%
Other values (10717) 30812
51.4%
(Missing) 13808
23.0%
ValueCountFrequency (%)
0 9114
15.2%
2 1645
 
2.7%
4 955
 
1.6%
6 677
 
1.1%
8 631
 
1.1%
ValueCountFrequency (%)
19156530 1
< 0.1%
18446472 1
< 0.1%
17722314 1
< 0.1%
16266324 2
< 0.1%
14488804 1
< 0.1%

da_000
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct263
Distinct (%)0.6%
Missing13808
Missing (%)23.0%
Infinite0
Infinite (%)0.0%
Mean7.393791133
Minimum0
Maximum21006
Zeros45645
Zeros (%)76.1%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:55.286150image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum21006
Range21006
Interquartile range (IQR)0

Descriptive statistics

Standard deviation190.488214
Coefficient of variation (CV)25.76326685
Kurtosis5222.749418
Mean7.393791133
Median Absolute Deviation (MAD)0
Skewness62.92545518
Sum341534
Variance36285.75967
MonotonicityNot monotonic
2023-10-29T14:34:55.704438image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 45645
76.1%
2 8
 
< 0.1%
52 8
 
< 0.1%
66 8
 
< 0.1%
170 8
 
< 0.1%
162 7
 
< 0.1%
4 7
 
< 0.1%
6 7
 
< 0.1%
106 6
 
< 0.1%
12 6
 
< 0.1%
Other values (253) 482
 
0.8%
(Missing) 13808
 
23.0%
ValueCountFrequency (%)
0 45645
76.1%
2 8
 
< 0.1%
4 7
 
< 0.1%
6 7
 
< 0.1%
8 4
 
< 0.1%
ValueCountFrequency (%)
21006 1
< 0.1%
15078 1
< 0.1%
12672 1
< 0.1%
11662 1
< 0.1%
10520 1
< 0.1%

db_000
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct146
Distinct (%)0.3%
Missing13808
Missing (%)23.0%
Infinite0
Infinite (%)0.0%
Mean13.41665223
Minimum0
Maximum9636
Zeros27715
Zeros (%)46.2%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:56.145953image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q318
95-th percentile54
Maximum9636
Range9636
Interquartile range (IQR)18

Descriptive statistics

Standard deviation73.40561047
Coefficient of variation (CV)5.471231511
Kurtosis9333.54005
Mean13.41665223
Median Absolute Deviation (MAD)0
Skewness83.62796061
Sum619742
Variance5388.383649
MonotonicityNot monotonic
2023-10-29T14:34:56.615529image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27715
46.2%
10 1385
 
2.3%
12 1189
 
2.0%
14 1013
 
1.7%
8 1013
 
1.7%
16 999
 
1.7%
18 942
 
1.6%
20 841
 
1.4%
22 810
 
1.4%
24 799
 
1.3%
Other values (136) 9486
 
15.8%
(Missing) 13808
23.0%
ValueCountFrequency (%)
0 27715
46.2%
2 13
 
< 0.1%
4 82
 
0.1%
6 403
 
0.7%
8 1013
 
1.7%
ValueCountFrequency (%)
9636 1
 
< 0.1%
7674 1
 
< 0.1%
3174 2
< 0.1%
2892 3
< 0.1%
2518 1
 
< 0.1%

dc_000
Real number (ℝ)

MISSING  ZEROS 

Distinct33177
Distinct (%)71.8%
Missing13808
Missing (%)23.0%
Infinite0
Infinite (%)0.0%
Mean2200752.209
Minimum0
Maximum120759484
Zeros1029
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:57.054529image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1706
Q126558.5
median1734472
Q32644937.5
95-th percentile7026161.2
Maximum120759484
Range120759484
Interquartile range (IQR)2618379

Descriptive statistics

Standard deviation4110149.887
Coefficient of variation (CV)1.867611388
Kurtosis84.77164881
Mean2200752.209
Median Absolute Deviation (MAD)1658370
Skewness7.177370875
Sum1.01657146 × 1011
Variance1.689333209 × 1013
MonotonicityNot monotonic
2023-10-29T14:34:57.558387image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1029
 
1.7%
1974 15
 
< 0.1%
2052 14
 
< 0.1%
1796 13
 
< 0.1%
2144 13
 
< 0.1%
1664 13
 
< 0.1%
2724 12
 
< 0.1%
3178 12
 
< 0.1%
2388 11
 
< 0.1%
1790 11
 
< 0.1%
Other values (33167) 45049
75.1%
(Missing) 13808
 
23.0%
ValueCountFrequency (%)
0 1029
1.7%
2 1
 
< 0.1%
6 1
 
< 0.1%
8 1
 
< 0.1%
12 1
 
< 0.1%
ValueCountFrequency (%)
120759484 1
< 0.1%
83326818 1
< 0.1%
76812228 1
< 0.1%
72983762 1
< 0.1%
71915392 2
< 0.1%

dd_000
Real number (ℝ)

MISSING  ZEROS 

Distinct6563
Distinct (%)11.4%
Missing2503
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean3123.961911
Minimum0
Maximum445142
Zeros866
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:58.044460image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile34
Q1132
median1354
Q32678
95-th percentile10924.8
Maximum445142
Range445142
Interquartile range (IQR)2546

Descriptive statistics

Standard deviation9516.675102
Coefficient of variation (CV)3.046347994
Kurtosis302.2228936
Mean3123.961911
Median Absolute Deviation (MAD)1232
Skewness13.04804093
Sum179618438
Variance90567104.99
MonotonicityNot monotonic
2023-10-29T14:34:58.528679image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 866
 
1.4%
56 319
 
0.5%
46 311
 
0.5%
74 310
 
0.5%
60 309
 
0.5%
70 306
 
0.5%
62 302
 
0.5%
58 299
 
0.5%
50 296
 
0.5%
48 294
 
0.5%
Other values (6553) 53885
89.8%
(Missing) 2503
 
4.2%
ValueCountFrequency (%)
0 866
1.4%
2 27
 
< 0.1%
4 20
 
< 0.1%
6 28
 
< 0.1%
8 45
 
0.1%
ValueCountFrequency (%)
445142 1
< 0.1%
398400 1
< 0.1%
297280 2
< 0.1%
290152 1
< 0.1%
247976 1
< 0.1%

de_000
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct1893
Distinct (%)3.3%
Missing2724
Missing (%)4.5%
Infinite0
Infinite (%)0.0%
Mean375.1471122
Minimum0
Maximum176176
Zeros860
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:58.836327image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile28
Q166
median144
Q3296
95-th percentile1128
Maximum176176
Range176176
Interquartile range (IQR)230

Descriptive statistics

Standard deviation1689.062059
Coefficient of variation (CV)4.502399204
Kurtosis2612.754416
Mean375.1471122
Median Absolute Deviation (MAD)92
Skewness37.47732963
Sum21486926
Variance2852930.641
MonotonicityNot monotonic
2023-10-29T14:34:59.213684image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 860
 
1.4%
50 682
 
1.1%
48 655
 
1.1%
52 650
 
1.1%
44 637
 
1.1%
40 635
 
1.1%
42 634
 
1.1%
38 629
 
1.0%
46 617
 
1.0%
36 611
 
1.0%
Other values (1883) 50666
84.4%
(Missing) 2724
 
4.5%
ValueCountFrequency (%)
0 860
1.4%
2 54
 
0.1%
4 37
 
0.1%
6 32
 
0.1%
8 25
 
< 0.1%
ValueCountFrequency (%)
176176 1
< 0.1%
79988 1
< 0.1%
77272 1
< 0.1%
69086 2
< 0.1%
67712 1
< 0.1%

df_000
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct402
Distinct (%)0.7%
Missing4008
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean2718.637841
Minimum0
Maximum21613910
Zeros54930
Zeros (%)91.5%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:34:59.555011image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum21613910
Range21613910
Interquartile range (IQR)0

Descriptive statistics

Standard deviation137333.1264
Coefficient of variation (CV)50.51541779
Kurtosis14829.87877
Mean2718.637841
Median Absolute Deviation (MAD)0
Skewness108.938646
Sum152221970
Variance1.88603876 × 1010
MonotonicityNot monotonic
2023-10-29T14:35:00.066800image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 54930
91.5%
10 45
 
0.1%
30 43
 
0.1%
60 25
 
< 0.1%
20 23
 
< 0.1%
40 20
 
< 0.1%
130 20
 
< 0.1%
100 19
 
< 0.1%
70 17
 
< 0.1%
50 17
 
< 0.1%
Other values (392) 833
 
1.4%
(Missing) 4008
 
6.7%
ValueCountFrequency (%)
0 54930
91.5%
10 45
 
0.1%
20 23
 
< 0.1%
30 43
 
0.1%
40 20
 
< 0.1%
ValueCountFrequency (%)
21613910 1
< 0.1%
16274770 1
< 0.1%
6956140 1
< 0.1%
6172990 1
< 0.1%
5645150 1
< 0.1%

dg_000
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct1313
Distinct (%)2.3%
Missing4008
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean5609.95703
Minimum0
Maximum27064294
Zeros54424
Zeros (%)90.7%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:35:00.385408image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum27064294
Range27064294
Interquartile range (IQR)0

Descriptive statistics

Standard deviation208564.9218
Coefficient of variation (CV)37.17763268
Kurtosis7780.595356
Mean5609.95703
Median Absolute Deviation (MAD)0
Skewness76.81272658
Sum314112714
Variance4.349932659 × 1010
MonotonicityNot monotonic
2023-10-29T14:35:00.724402image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 54424
90.7%
2 13
 
< 0.1%
8 10
 
< 0.1%
4 9
 
< 0.1%
14 7
 
< 0.1%
6 7
 
< 0.1%
22 6
 
< 0.1%
10 5
 
< 0.1%
70434 5
 
< 0.1%
16968 4
 
< 0.1%
Other values (1303) 1502
 
2.5%
(Missing) 4008
 
6.7%
ValueCountFrequency (%)
0 54424
90.7%
2 13
 
< 0.1%
4 9
 
< 0.1%
6 7
 
< 0.1%
8 10
 
< 0.1%
ValueCountFrequency (%)
27064294 1
< 0.1%
20880422 1
< 0.1%
13315810 1
< 0.1%
11616604 1
< 0.1%
11410620 1
< 0.1%

dh_000
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct1055
Distinct (%)1.9%
Missing4008
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean4707.073332
Minimum0
Maximum124700880
Zeros49008
Zeros (%)81.7%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:35:01.036002image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile340
Maximum124700880
Range124700880
Interquartile range (IQR)0

Descriptive statistics

Standard deviation560279.8623
Coefficient of variation (CV)119.0293464
Kurtosis44150.03004
Mean4707.073332
Median Absolute Deviation (MAD)0
Skewness202.9070143
Sum263558450
Variance3.139135241 × 1011
MonotonicityNot monotonic
2023-10-29T14:35:01.392424image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 49008
81.7%
10 701
 
1.2%
20 379
 
0.6%
30 377
 
0.6%
40 343
 
0.6%
50 247
 
0.4%
60 206
 
0.3%
70 183
 
0.3%
90 169
 
0.3%
80 163
 
0.3%
Other values (1045) 4216
 
7.0%
(Missing) 4008
 
6.7%
ValueCountFrequency (%)
0 49008
81.7%
10 701
 
1.2%
20 379
 
0.6%
30 377
 
0.6%
40 343
 
0.6%
ValueCountFrequency (%)
124700880 1
< 0.1%
30835800 2
< 0.1%
7196590 1
< 0.1%
3605890 1
< 0.1%
3302080 2
< 0.1%

di_000
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct5618
Distinct (%)10.0%
Missing4006
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean37248.2416
Minimum0
Maximum22987424
Zeros45647
Zeros (%)76.1%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:35:01.724571image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile48284.4
Maximum22987424
Range22987424
Interquartile range (IQR)0

Descriptive statistics

Standard deviation425438.165
Coefficient of variation (CV)11.42169796
Kurtosis800.7169124
Mean37248.2416
Median Absolute Deviation (MAD)0
Skewness24.9094282
Sum2085678040
Variance1.809976323 × 1011
MonotonicityNot monotonic
2023-10-29T14:35:02.054602image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 45647
76.1%
4 189
 
0.3%
2 185
 
0.3%
6 163
 
0.3%
8 125
 
0.2%
18 91
 
0.2%
12 91
 
0.2%
16 85
 
0.1%
14 76
 
0.1%
10 75
 
0.1%
Other values (5608) 9267
 
15.4%
(Missing) 4006
 
6.7%
ValueCountFrequency (%)
0 45647
76.1%
2 185
 
0.3%
4 189
 
0.3%
6 163
 
0.3%
8 125
 
0.2%
ValueCountFrequency (%)
22987424 1
< 0.1%
20210666 1
< 0.1%
17295700 1
< 0.1%
15851300 1
< 0.1%
15268844 1
< 0.1%

dj_000
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct72
Distinct (%)0.1%
Missing4007
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean39.93856375
Minimum0
Maximum726750
Zeros55796
Zeros (%)93.0%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:35:02.456306image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum726750
Range726750
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4533.142182
Coefficient of variation (CV)113.5028844
Kurtosis23737.00795
Mean39.93856375
Median Absolute Deviation (MAD)0
Skewness150.5076469
Sum2236280
Variance20549378.05
MonotonicityNot monotonic
2023-10-29T14:35:02.805960image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 55796
93.0%
10 22
 
< 0.1%
30 13
 
< 0.1%
100 10
 
< 0.1%
50 9
 
< 0.1%
20 9
 
< 0.1%
40 8
 
< 0.1%
60 8
 
< 0.1%
80 6
 
< 0.1%
140 6
 
< 0.1%
Other values (62) 106
 
0.2%
(Missing) 4007
 
6.7%
ValueCountFrequency (%)
0 55796
93.0%
10 22
 
< 0.1%
20 9
 
< 0.1%
30 13
 
< 0.1%
40 8
 
< 0.1%
ValueCountFrequency (%)
726750 2
< 0.1%
203840 1
< 0.1%
202800 1
< 0.1%
76720 1
< 0.1%
45600 1
< 0.1%

dk_000
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct256
Distinct (%)0.5%
Missing4007
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean1861.312986
Minimum0
Maximum5483574
Zeros55675
Zeros (%)92.8%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:35:03.476591image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum5483574
Range5483574
Interquartile range (IQR)0

Descriptive statistics

Standard deviation66597.86056
Coefficient of variation (CV)35.78004402
Kurtosis2785.956029
Mean1861.312986
Median Absolute Deviation (MAD)0
Skewness49.02245514
Sum104220498
Variance4435275031
MonotonicityNot monotonic
2023-10-29T14:35:03.771185image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 55675
92.8%
4 7
 
< 0.1%
6 5
 
< 0.1%
8 5
 
< 0.1%
12 4
 
< 0.1%
2 4
 
< 0.1%
16 4
 
< 0.1%
18 4
 
< 0.1%
774 3
 
< 0.1%
34 3
 
< 0.1%
Other values (246) 279
 
0.5%
(Missing) 4007
 
6.7%
ValueCountFrequency (%)
0 55675
92.8%
2 4
 
< 0.1%
4 7
 
< 0.1%
6 5
 
< 0.1%
8 5
 
< 0.1%
ValueCountFrequency (%)
5483574 1
< 0.1%
4834786 1
< 0.1%
4164980 1
< 0.1%
3589808 1
< 0.1%
3452224 1
< 0.1%

dl_000
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct181
Distinct (%)0.3%
Missing4008
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean28541.7749
Minimum0
Maximum103858120
Zeros55769
Zeros (%)92.9%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:35:04.098803image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum103858120
Range103858120
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1095662.131
Coefficient of variation (CV)38.38801669
Kurtosis3458.371405
Mean28541.7749
Median Absolute Deviation (MAD)0
Skewness53.36920211
Sum1598111060
Variance1.200475505 × 1012
MonotonicityNot monotonic
2023-10-29T14:35:04.424441image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 55769
92.9%
28979160 3
 
< 0.1%
230 3
 
< 0.1%
410 3
 
< 0.1%
180 3
 
< 0.1%
60 3
 
< 0.1%
40 3
 
< 0.1%
100 2
 
< 0.1%
186380 2
 
< 0.1%
30952630 2
 
< 0.1%
Other values (171) 199
 
0.3%
(Missing) 4008
 
6.7%
ValueCountFrequency (%)
0 55769
92.9%
10 2
 
< 0.1%
20 2
 
< 0.1%
40 3
 
< 0.1%
50 1
 
< 0.1%
ValueCountFrequency (%)
103858120 1
< 0.1%
87475810 1
< 0.1%
60901670 1
< 0.1%
60396920 2
< 0.1%
57655820 1
< 0.1%

dm_000
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct221
Distinct (%)0.4%
Missing4009
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean7923.227554
Minimum0
Maximum23697916
Zeros55734
Zeros (%)92.9%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:35:04.739161image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum23697916
Range23697916
Interquartile range (IQR)0

Descriptive statistics

Standard deviation277535.5731
Coefficient of variation (CV)35.0280957
Kurtosis2824.621339
Mean7923.227554
Median Absolute Deviation (MAD)0
Skewness48.89061575
Sum443629434
Variance7.702599432 × 1010
MonotonicityNot monotonic
2023-10-29T14:35:05.044694image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 55734
92.9%
6 3
 
< 0.1%
28 3
 
< 0.1%
8844466 3
 
< 0.1%
12 3
 
< 0.1%
90 3
 
< 0.1%
70588 2
 
< 0.1%
4925928 2
 
< 0.1%
2542448 2
 
< 0.1%
184 2
 
< 0.1%
Other values (211) 234
 
0.4%
(Missing) 4009
 
6.7%
ValueCountFrequency (%)
0 55734
92.9%
4 1
 
< 0.1%
6 3
 
< 0.1%
8 1
 
< 0.1%
10 2
 
< 0.1%
ValueCountFrequency (%)
23697916 1
< 0.1%
18523316 1
< 0.1%
16257236 1
< 0.1%
15530894 2
< 0.1%
15439782 1
< 0.1%

dn_000
Real number (ℝ)

MISSING 

Distinct21098
Distinct (%)35.6%
Missing691
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean33745.45492
Minimum0
Maximum2924584
Zeros107
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:35:05.364535image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile146
Q1660
median14330
Q327340
95-th percentile117596.4
Maximum2924584
Range2924584
Interquartile range (IQR)26680

Descriptive statistics

Standard deviation97337.18871
Coefficient of variation (CV)2.884453297
Kurtosis110.0378929
Mean33745.45492
Median Absolute Deviation (MAD)13638
Skewness8.476746673
Sum2001409186
Variance9474528306
MonotonicityNot monotonic
2023-10-29T14:35:05.686049image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
148 126
 
0.2%
158 124
 
0.2%
176 121
 
0.2%
162 117
 
0.2%
140 116
 
0.2%
174 113
 
0.2%
146 113
 
0.2%
156 112
 
0.2%
142 112
 
0.2%
154 111
 
0.2%
Other values (21088) 58144
96.9%
(Missing) 691
 
1.2%
ValueCountFrequency (%)
0 107
0.2%
2 4
 
< 0.1%
4 13
 
< 0.1%
6 16
 
< 0.1%
8 6
 
< 0.1%
ValueCountFrequency (%)
2924584 1
< 0.1%
2924560 1
< 0.1%
2539696 1
< 0.1%
2116394 1
< 0.1%
2037710 1
< 0.1%

do_000
Real number (ℝ)

MISSING  ZEROS 

Distinct20514
Distinct (%)35.8%
Missing2724
Missing (%)4.5%
Infinite0
Infinite (%)0.0%
Mean28507.84671
Minimum0
Maximum1874542
Zeros13287
Zeros (%)22.1%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:35:06.002706image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q120
median10377
Q337672
95-th percentile100107.5
Maximum1874542
Range1874542
Interquartile range (IQR)37652

Descriptive statistics

Standard deviation61254.76099
Coefficient of variation (CV)2.148698273
Kurtosis136.8051746
Mean28507.84671
Median Absolute Deviation (MAD)10377
Skewness9.026995502
Sum1632815428
Variance3752145744
MonotonicityNot monotonic
2023-10-29T14:35:06.344422image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 13287
 
22.1%
20 488
 
0.8%
60 217
 
0.4%
40 215
 
0.4%
6 162
 
0.3%
18 138
 
0.2%
12 132
 
0.2%
4 103
 
0.2%
16 85
 
0.1%
36 84
 
0.1%
Other values (20504) 42365
70.6%
(Missing) 2724
 
4.5%
ValueCountFrequency (%)
0 13287
22.1%
2 34
 
0.1%
4 103
 
0.2%
6 162
 
0.3%
8 76
 
0.1%
ValueCountFrequency (%)
1874542 1
< 0.1%
1727096 1
< 0.1%
1518584 1
< 0.1%
1423194 1
< 0.1%
1358378 2
< 0.1%

dp_000
Real number (ℝ)

MISSING  ZEROS 

Distinct11568
Distinct (%)20.2%
Missing2726
Missing (%)4.5%
Infinite0
Infinite (%)0.0%
Mean6958.652722
Minimum0
Maximum348118
Zeros12750
Zeros (%)21.2%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:35:06.674479image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median2532
Q38319.5
95-th percentile27996.8
Maximum348118
Range348118
Interquartile range (IQR)8313.5

Descriptive statistics

Standard deviation13955.45178
Coefficient of variation (CV)2.005481857
Kurtosis98.02101191
Mean6958.652722
Median Absolute Deviation (MAD)2532
Skewness7.317061492
Sum398549876
Variance194754634.4
MonotonicityNot monotonic
2023-10-29T14:35:06.997715image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12750
 
21.2%
2 936
 
1.6%
6 628
 
1.0%
4 545
 
0.9%
12 406
 
0.7%
10 343
 
0.6%
8 298
 
0.5%
18 256
 
0.4%
14 204
 
0.3%
16 191
 
0.3%
Other values (11558) 40717
67.9%
(Missing) 2726
 
4.5%
ValueCountFrequency (%)
0 12750
21.2%
2 936
 
1.6%
4 545
 
0.9%
6 628
 
1.0%
8 298
 
0.5%
ValueCountFrequency (%)
348118 1
< 0.1%
344322 1
< 0.1%
344190 2
< 0.1%
316438 1
< 0.1%
314750 1
< 0.1%

dq_000
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct8110
Distinct (%)14.2%
Missing2726
Missing (%)4.5%
Infinite0
Infinite (%)0.0%
Mean4529374.984
Minimum0
Maximum6351872864
Zeros44404
Zeros (%)74.0%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:35:07.306471image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4706683.5
Maximum6351872864
Range6351872864
Interquartile range (IQR)0

Descriptive statistics

Standard deviation97484779.54
Coefficient of variation (CV)21.52278844
Kurtosis1436.382173
Mean4529374.984
Median Absolute Deviation (MAD)0
Skewness35.34327991
Sum2.594154228 × 1011
Variance9.503282241 × 1015
MonotonicityNot monotonic
2023-10-29T14:35:07.624526image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 44404
74.0%
80 50
 
0.1%
60 42
 
0.1%
100 37
 
0.1%
140 27
 
< 0.1%
120 26
 
< 0.1%
48 25
 
< 0.1%
240 22
 
< 0.1%
144 22
 
< 0.1%
72 22
 
< 0.1%
Other values (8100) 12597
 
21.0%
(Missing) 2726
 
4.5%
ValueCountFrequency (%)
0 44404
74.0%
6 4
 
< 0.1%
8 1
 
< 0.1%
10 1
 
< 0.1%
12 6
 
< 0.1%
ValueCountFrequency (%)
6351872864 1
 
< 0.1%
5562960856 1
 
< 0.1%
4280318042 1
 
< 0.1%
4272595430 3
< 0.1%
4035412466 1
 
< 0.1%

dr_000
Real number (ℝ)

MISSING  ZEROS 

Distinct6682
Distinct (%)11.7%
Missing2726
Missing (%)4.5%
Infinite0
Infinite (%)0.0%
Mean203759.8479
Minimum0
Maximum50137662
Zeros44267
Zeros (%)73.8%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:35:07.955990image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile689049.8
Maximum50137662
Range50137662
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1366064.698
Coefficient of variation (CV)6.704287972
Kurtosis230.9965349
Mean203759.8479
Median Absolute Deviation (MAD)0
Skewness12.91442724
Sum1.167014153 × 1010
Variance1.866132758 × 1012
MonotonicityNot monotonic
2023-10-29T14:35:08.266416image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 44267
73.8%
96 46
 
0.1%
118 45
 
0.1%
6 44
 
0.1%
138 43
 
0.1%
116 41
 
0.1%
130 40
 
0.1%
126 40
 
0.1%
104 39
 
0.1%
112 37
 
0.1%
Other values (6672) 12632
 
21.1%
(Missing) 2726
 
4.5%
ValueCountFrequency (%)
0 44267
73.8%
2 2
 
< 0.1%
4 1
 
< 0.1%
6 44
 
0.1%
8 36
 
0.1%
ValueCountFrequency (%)
50137662 1
< 0.1%
45196140 1
< 0.1%
39461804 1
< 0.1%
37007136 1
< 0.1%
33768978 1
< 0.1%

ds_000
Real number (ℝ)

MISSING  ZEROS 

Distinct26312
Distinct (%)45.9%
Missing2727
Missing (%)4.5%
Infinite0
Infinite (%)0.0%
Mean89654.99649
Minimum0
Maximum4970962
Zeros2662
Zeros (%)4.4%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:35:08.586193image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q1684
median47940
Q399202
95-th percentile300436.4
Maximum4970962
Range4970962
Interquartile range (IQR)98518

Descriptive statistics

Standard deviation208201.63
Coefficient of variation (CV)2.322253507
Kurtosis77.93330777
Mean89654.99649
Median Absolute Deviation (MAD)47390
Skewness7.376626688
Sum5134810614
Variance4.334791873 × 1010
MonotonicityNot monotonic
2023-10-29T14:35:08.936115image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2662
 
4.4%
20 151
 
0.3%
34 144
 
0.2%
40 141
 
0.2%
28 141
 
0.2%
46 141
 
0.2%
50 139
 
0.2%
42 137
 
0.2%
30 136
 
0.2%
38 130
 
0.2%
Other values (26302) 53351
88.9%
(Missing) 2727
 
4.5%
ValueCountFrequency (%)
0 2662
4.4%
2 67
 
0.1%
4 79
 
0.1%
6 85
 
0.1%
8 77
 
0.1%
ValueCountFrequency (%)
4970962 1
< 0.1%
4877996 1
< 0.1%
3931728 1
< 0.1%
3859534 1
< 0.1%
3856964 1
< 0.1%

dt_000
Real number (ℝ)

MISSING  ZEROS 

Distinct15910
Distinct (%)27.8%
Missing2727
Missing (%)4.5%
Infinite0
Infinite (%)0.0%
Mean15403.35467
Minimum0
Maximum656432
Zeros2551
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:35:09.405939image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q1150
median8316
Q317630
95-th percentile52790
Maximum656432
Range656432
Interquartile range (IQR)17480

Descriptive statistics

Standard deviation33801.02298
Coefficient of variation (CV)2.194393604
Kurtosis72.41925823
Mean15403.35467
Median Absolute Deviation (MAD)8202
Skewness7.053782943
Sum882196332
Variance1142509154
MonotonicityNot monotonic
2023-10-29T14:35:09.969603image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2551
 
4.3%
18 461
 
0.8%
12 460
 
0.8%
14 460
 
0.8%
10 452
 
0.8%
16 440
 
0.7%
22 416
 
0.7%
8 388
 
0.6%
20 375
 
0.6%
24 365
 
0.6%
Other values (15900) 50905
84.8%
(Missing) 2727
 
4.5%
ValueCountFrequency (%)
0 2551
4.3%
2 178
 
0.3%
4 259
 
0.4%
6 339
 
0.6%
8 388
 
0.6%
ValueCountFrequency (%)
656432 1
< 0.1%
640214 1
< 0.1%
623562 1
< 0.1%
614062 2
< 0.1%
608230 2
< 0.1%

du_000
Real number (ℝ)

MISSING  ZEROS 

Distinct28495
Distinct (%)49.8%
Missing2726
Missing (%)4.5%
Infinite0
Infinite (%)0.0%
Mean4058711.617
Minimum0
Maximum460207620
Zeros3280
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:35:10.427303image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15380
median185400
Q33472540
95-th percentile19184214
Maximum460207620
Range460207620
Interquartile range (IQR)3467160

Descriptive statistics

Standard deviation11567771.48
Coefficient of variation (CV)2.85010924
Kurtosis150.7039851
Mean4058711.617
Median Absolute Deviation (MAD)185320
Skewness8.977669778
Sum2.324586492 × 1011
Variance1.338133371 × 1014
MonotonicityNot monotonic
2023-10-29T14:35:10.833920image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3280
 
5.5%
80 181
 
0.3%
20 165
 
0.3%
40 164
 
0.3%
60 153
 
0.3%
100 144
 
0.2%
360 112
 
0.2%
660 104
 
0.2%
260 104
 
0.2%
160 102
 
0.2%
Other values (28485) 52765
87.9%
(Missing) 2726
 
4.5%
ValueCountFrequency (%)
0 3280
5.5%
20 165
 
0.3%
40 164
 
0.3%
60 153
 
0.3%
80 181
 
0.3%
ValueCountFrequency (%)
460207620 1
< 0.1%
319054000 1
< 0.1%
267104360 1
< 0.1%
266902600 1
< 0.1%
266835800 1
< 0.1%

dv_000
Real number (ℝ)

MISSING  ZEROS 

Distinct30139
Distinct (%)52.6%
Missing2726
Missing (%)4.5%
Infinite0
Infinite (%)0.0%
Mean593834.9753
Minimum0
Maximum127034534
Zeros3278
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:35:11.368911image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1742
median30592
Q3534655.5
95-th percentile2490996
Maximum127034534
Range127034534
Interquartile range (IQR)533913.5

Descriptive statistics

Standard deviation2082997.65
Coefficient of variation (CV)3.507704558
Kurtosis522.3570105
Mean593834.9753
Median Absolute Deviation (MAD)30584
Skewness16.29633523
Sum3.401130437 × 1010
Variance4.338879208 × 1012
MonotonicityNot monotonic
2023-10-29T14:35:11.816525image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3278
 
5.5%
8 169
 
0.3%
4 164
 
0.3%
6 163
 
0.3%
2 159
 
0.3%
10 114
 
0.2%
16 96
 
0.2%
12 93
 
0.2%
20 86
 
0.1%
18 85
 
0.1%
Other values (30129) 52867
88.1%
(Missing) 2726
 
4.5%
ValueCountFrequency (%)
0 3278
5.5%
2 159
 
0.3%
4 164
 
0.3%
6 163
 
0.3%
8 169
 
0.3%
ValueCountFrequency (%)
127034534 1
< 0.1%
86985916 1
< 0.1%
78291972 1
< 0.1%
74669330 1
< 0.1%
74669282 1
< 0.1%

dx_000
Real number (ℝ)

MISSING  ZEROS 

Distinct14735
Distinct (%)25.7%
Missing2723
Missing (%)4.5%
Infinite0
Infinite (%)0.0%
Mean791208.4811
Minimum0
Maximum114288420
Zeros39558
Zeros (%)65.9%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:35:12.274405image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q38764
95-th percentile3415064.8
Maximum114288420
Range114288420
Interquartile range (IQR)8764

Descriptive statistics

Standard deviation4151033.424
Coefficient of variation (CV)5.246447077
Kurtosis161.6868528
Mean791208.4811
Median Absolute Deviation (MAD)0
Skewness10.87108604
Sum4.531804817 × 1010
Variance1.723107848 × 1013
MonotonicityNot monotonic
2023-10-29T14:35:12.713631image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 39558
65.9%
2 172
 
0.3%
4 75
 
0.1%
6 49
 
0.1%
8 43
 
0.1%
10 35
 
0.1%
12 28
 
< 0.1%
16 25
 
< 0.1%
14 21
 
< 0.1%
138 15
 
< 0.1%
Other values (14725) 17256
28.8%
(Missing) 2723
 
4.5%
ValueCountFrequency (%)
0 39558
65.9%
2 172
 
0.3%
4 75
 
0.1%
6 49
 
0.1%
8 43
 
0.1%
ValueCountFrequency (%)
114288420 1
< 0.1%
111558320 1
< 0.1%
101962296 1
< 0.1%
100862108 1
< 0.1%
94373000 2
< 0.1%

dy_000
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct6311
Distinct (%)11.0%
Missing2724
Missing (%)4.5%
Infinite0
Infinite (%)0.0%
Mean7780.34964
Minimum0
Maximum3793022
Zeros36269
Zeros (%)60.4%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:35:13.141850image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q336
95-th percentile24854
Maximum3793022
Range3793022
Interquartile range (IQR)36

Descriptive statistics

Standard deviation59244.49307
Coefficient of variation (CV)7.614631194
Kurtosis725.3463584
Mean7780.34964
Median Absolute Deviation (MAD)0
Skewness20.74766284
Sum445627306
Variance3509909959
MonotonicityNot monotonic
2023-10-29T14:35:13.555887image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 36269
60.4%
8 1083
 
1.8%
12 694
 
1.2%
4 670
 
1.1%
10 588
 
1.0%
14 455
 
0.8%
16 441
 
0.7%
6 380
 
0.6%
18 347
 
0.6%
20 329
 
0.5%
Other values (6301) 16020
26.7%
(Missing) 2724
 
4.5%
ValueCountFrequency (%)
0 36269
60.4%
2 86
 
0.1%
4 670
 
1.1%
6 380
 
0.6%
8 1083
 
1.8%
ValueCountFrequency (%)
3793022 1
< 0.1%
3115824 1
< 0.1%
2388100 1
< 0.1%
2381954 1
< 0.1%
1916590 1
< 0.1%

dz_000
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct47
Distinct (%)0.1%
Missing2723
Missing (%)4.5%
Infinite0
Infinite (%)0.0%
Mean0.2157585069
Minimum0
Maximum1414
Zeros56984
Zeros (%)95.0%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:35:14.508591image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1414
Range1414
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.82103498
Coefficient of variation (CV)50.15345693
Kurtosis9955.586829
Mean0.2157585069
Median Absolute Deviation (MAD)0
Skewness92.41027346
Sum12358
Variance117.0947981
MonotonicityNot monotonic
2023-10-29T14:35:14.925855image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0 56984
95.0%
2 105
 
0.2%
4 33
 
0.1%
6 25
 
< 0.1%
14 20
 
< 0.1%
8 17
 
< 0.1%
12 11
 
< 0.1%
10 9
 
< 0.1%
42 5
 
< 0.1%
16 5
 
< 0.1%
Other values (37) 63
 
0.1%
(Missing) 2723
 
4.5%
ValueCountFrequency (%)
0 56984
95.0%
2 105
 
0.2%
4 33
 
0.1%
6 25
 
< 0.1%
8 17
 
< 0.1%
ValueCountFrequency (%)
1414 1
< 0.1%
1212 1
< 0.1%
940 1
< 0.1%
904 1
< 0.1%
514 1
< 0.1%

ea_000
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct134
Distinct (%)0.2%
Missing2723
Missing (%)4.5%
Infinite0
Infinite (%)0.0%
Mean1.567749708
Minimum0
Maximum8506
Zeros56535
Zeros (%)94.2%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:35:15.408859image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum8506
Range8506
Interquartile range (IQR)0

Descriptive statistics

Standard deviation53.52872207
Coefficient of variation (CV)34.1436658
Kurtosis12081.51546
Mean1.567749708
Median Absolute Deviation (MAD)0
Skewness91.23055163
Sum89796
Variance2865.324086
MonotonicityNot monotonic
2023-10-29T14:35:15.785960image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 56535
94.2%
2 161
 
0.3%
4 74
 
0.1%
6 43
 
0.1%
8 37
 
0.1%
10 31
 
0.1%
12 20
 
< 0.1%
14 18
 
< 0.1%
18 17
 
< 0.1%
22 16
 
< 0.1%
Other values (124) 325
 
0.5%
(Missing) 2723
 
4.5%
ValueCountFrequency (%)
0 56535
94.2%
2 161
 
0.3%
4 74
 
0.1%
6 43
 
0.1%
8 37
 
0.1%
ValueCountFrequency (%)
8506 1
< 0.1%
3342 1
< 0.1%
2956 1
< 0.1%
2754 1
< 0.1%
2546 1
< 0.1%

eb_000
Real number (ℝ)

MISSING  ZEROS 

Distinct27831
Distinct (%)49.7%
Missing4007
Missing (%)6.7%
Infinite0
Infinite (%)0.0%
Mean9717093.233
Minimum0
Maximum1322456920
Zeros21449
Zeros (%)35.7%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:35:16.154622image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median622110
Q34000270
95-th percentile40314896
Maximum1322456920
Range1322456920
Interquartile range (IQR)4000270

Descriptive statistics

Standard deviation42746746.4
Coefficient of variation (CV)4.399128976
Kurtosis240.4430981
Mean9717093.233
Median Absolute Deviation (MAD)622110
Skewness13.35574067
Sum5.440892014 × 1011
Variance1.827284328 × 1015
MonotonicityNot monotonic
2023-10-29T14:35:16.541488image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 21449
35.7%
451920 7
 
< 0.1%
455490 7
 
< 0.1%
752140 7
 
< 0.1%
10611120 7
 
< 0.1%
228290 6
 
< 0.1%
925120 6
 
< 0.1%
5834810 6
 
< 0.1%
7165300 6
 
< 0.1%
9814160 6
 
< 0.1%
Other values (27821) 34486
57.5%
(Missing) 4007
 
6.7%
ValueCountFrequency (%)
0 21449
35.7%
10 3
 
< 0.1%
40 1
 
< 0.1%
80 1
 
< 0.1%
110 2
 
< 0.1%
ValueCountFrequency (%)
1322456920 1
< 0.1%
1234411240 1
< 0.1%
1195443160 1
< 0.1%
1147943140 1
< 0.1%
1111888880 1
< 0.1%

ec_00
Real number (ℝ)

MISSING  ZEROS 

Distinct31141
Distinct (%)62.6%
Missing10239
Missing (%)17.1%
Infinite0
Infinite (%)0.0%
Mean1353.131452
Minimum0
Maximum106020.22
Zeros1276
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:35:16.898539image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.82
Q1114.76
median754.4
Q31379.38
95-th percentile3796.3
Maximum106020.22
Range106020.22
Interquartile range (IQR)1264.62

Descriptive statistics

Standard deviation3536.637285
Coefficient of variation (CV)2.613668673
Kurtosis134.2277113
Mean1353.131452
Median Absolute Deviation (MAD)637.44
Skewness9.785267562
Sum67333174.16
Variance12507803.29
MonotonicityNot monotonic
2023-10-29T14:35:17.234384image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1276
 
2.1%
0.72 85
 
0.1%
0.74 79
 
0.1%
0.7 77
 
0.1%
0.82 77
 
0.1%
0.64 72
 
0.1%
0.8 68
 
0.1%
0.86 66
 
0.1%
0.66 63
 
0.1%
0.76 60
 
0.1%
Other values (31131) 47838
79.7%
(Missing) 10239
 
17.1%
ValueCountFrequency (%)
0 1276
2.1%
0.02 17
 
< 0.1%
0.04 11
 
< 0.1%
0.06 12
 
< 0.1%
0.08 6
 
< 0.1%
ValueCountFrequency (%)
106020.22 1
< 0.1%
83520.48 2
< 0.1%
80805.16 1
< 0.1%
79816 1
< 0.1%
77698.46 1
< 0.1%

ed_000
Real number (ℝ)

MISSING  ZEROS 

Distinct3930
Distinct (%)7.8%
Missing9553
Missing (%)15.9%
Infinite0
Infinite (%)0.0%
Mean1452.155212
Minimum0
Maximum82806
Zeros1418
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:35:17.756667image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile28
Q198
median832
Q31504
95-th percentile4343.4
Maximum82806
Range82806
Interquartile range (IQR)1406

Descriptive statistics

Standard deviation3525.028652
Coefficient of variation (CV)2.4274462
Kurtosis107.9927892
Mean1452.155212
Median Absolute Deviation (MAD)726
Skewness8.815512492
Sum73256874
Variance12425827
MonotonicityNot monotonic
2023-10-29T14:35:18.124377image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1418
 
2.4%
46 484
 
0.8%
42 442
 
0.7%
48 434
 
0.7%
54 417
 
0.7%
40 380
 
0.6%
44 379
 
0.6%
50 371
 
0.6%
38 364
 
0.6%
56 360
 
0.6%
Other values (3920) 45398
75.7%
(Missing) 9553
 
15.9%
ValueCountFrequency (%)
0 1418
2.4%
2 46
 
0.1%
4 21
 
< 0.1%
6 25
 
< 0.1%
8 9
 
< 0.1%
ValueCountFrequency (%)
82806 1
< 0.1%
79512 1
< 0.1%
78906 1
< 0.1%
76702 1
< 0.1%
71082 1
< 0.1%

ee_000
Real number (ℝ)

MISSING  ZEROS 

Distinct41815
Distinct (%)70.5%
Missing671
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean733404.2128
Minimum0
Maximum74984446
Zeros1089
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:35:18.436497image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3418
Q115698
median260704
Q3573060
95-th percentile2527557.6
Maximum74984446
Range74984446
Interquartile range (IQR)557362

Descriptive statistics

Standard deviation2416165.656
Coefficient of variation (CV)3.294452927
Kurtosis160.4423523
Mean733404.2128
Median Absolute Deviation (MAD)248464
Skewness10.59992983
Sum4.351213854 × 1010
Variance5.837856475 × 1012
MonotonicityNot monotonic
2023-10-29T14:35:18.794808image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1089
 
1.8%
3924 13
 
< 0.1%
4468 12
 
< 0.1%
4742 11
 
< 0.1%
4116 11
 
< 0.1%
4644 11
 
< 0.1%
5366 11
 
< 0.1%
4648 10
 
< 0.1%
4170 10
 
< 0.1%
5376 10
 
< 0.1%
Other values (41805) 58141
96.9%
(Missing) 671
 
1.1%
ValueCountFrequency (%)
0 1089
1.8%
10 1
 
< 0.1%
18 1
 
< 0.1%
22 2
 
< 0.1%
28 2
 
< 0.1%
ValueCountFrequency (%)
74984446 1
< 0.1%
64660150 1
< 0.1%
64659960 1
< 0.1%
56601752 1
< 0.1%
55990888 1
< 0.1%

ee_001
Real number (ℝ)

MISSING  ZEROS 

Distinct38245
Distinct (%)64.5%
Missing671
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean783874.5906
Minimum0
Maximum98224378
Zeros1157
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:35:19.134827image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1174
Q18536
median346940
Q3667390
95-th percentile2587854
Maximum98224378
Range98224378
Interquartile range (IQR)658854

Descriptive statistics

Standard deviation2570110.876
Coefficient of variation (CV)3.278727116
Kurtosis250.6538735
Mean783874.5906
Median Absolute Deviation (MAD)337942
Skewness12.79261489
Sum4.650649559 × 1010
Variance6.605469915 × 1012
MonotonicityNot monotonic
2023-10-29T14:35:19.630546image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1157
 
1.9%
1120 18
 
< 0.1%
1536 17
 
< 0.1%
1312 17
 
< 0.1%
1494 16
 
< 0.1%
1232 15
 
< 0.1%
1276 15
 
< 0.1%
1082 14
 
< 0.1%
1532 14
 
< 0.1%
1192 14
 
< 0.1%
Other values (38235) 58032
96.7%
(Missing) 671
 
1.1%
ValueCountFrequency (%)
0 1157
1.9%
2 3
 
< 0.1%
4 1
 
< 0.1%
8 2
 
< 0.1%
10 1
 
< 0.1%
ValueCountFrequency (%)
98224378 1
< 0.1%
80432426 1
< 0.1%
80399902 1
< 0.1%
79845232 1
< 0.1%
74818410 1
< 0.1%

ee_002
Real number (ℝ)

MISSING  ZEROS 

Distinct34488
Distinct (%)58.1%
Missing671
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean445489.7283
Minimum0
Maximum77933926
Zeros1364
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:35:20.084597image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile46
Q12936
median233796
Q3438396
95-th percentile1512302.8
Maximum77933926
Range77933926
Interquartile range (IQR)435460

Descriptive statistics

Standard deviation1155539.821
Coefficient of variation (CV)2.593864119
Kurtosis412.5727677
Mean445489.7283
Median Absolute Deviation (MAD)230158
Skewness11.94418853
Sum2.643046009 × 1010
Variance1.335272279 × 1012
MonotonicityNot monotonic
2023-10-29T14:35:20.647831image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1364
 
2.3%
32 150
 
0.2%
30 147
 
0.2%
34 144
 
0.2%
42 140
 
0.2%
40 137
 
0.2%
28 130
 
0.2%
44 129
 
0.2%
36 123
 
0.2%
46 122
 
0.2%
Other values (34478) 56743
94.6%
(Missing) 671
 
1.1%
ValueCountFrequency (%)
0 1364
2.3%
2 5
 
< 0.1%
4 1
 
< 0.1%
6 4
 
< 0.1%
8 4
 
< 0.1%
ValueCountFrequency (%)
77933926 1
< 0.1%
31232720 1
< 0.1%
23766238 1
< 0.1%
20685232 1
< 0.1%
20396460 1
< 0.1%

ee_003
Real number (ℝ)

MISSING  ZEROS 

Distinct31711
Distinct (%)53.4%
Missing671
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean211126.4473
Minimum0
Maximum37758390
Zeros1557
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:35:21.176831image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12
Q11166
median112086
Q3218232
95-th percentile710704
Maximum37758390
Range37758390
Interquartile range (IQR)217066

Descriptive statistics

Standard deviation543318.8167
Coefficient of variation (CV)2.573428501
Kurtosis484.4373648
Mean211126.4473
Median Absolute Deviation (MAD)110790
Skewness13.29418457
Sum1.252592099 × 1010
Variance2.951953366 × 1011
MonotonicityNot monotonic
2023-10-29T14:35:21.618691image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1557
 
2.6%
10 479
 
0.8%
8 453
 
0.8%
12 403
 
0.7%
14 338
 
0.6%
16 292
 
0.5%
6 282
 
0.5%
18 234
 
0.4%
20 199
 
0.3%
22 193
 
0.3%
Other values (31701) 54899
91.5%
(Missing) 671
 
1.1%
ValueCountFrequency (%)
0 1557
2.6%
2 23
 
< 0.1%
4 89
 
0.1%
6 282
 
0.5%
8 453
 
0.8%
ValueCountFrequency (%)
37758390 1
< 0.1%
16769292 1
< 0.1%
14549220 1
< 0.1%
11628988 1
< 0.1%
11394582 2
< 0.1%

ee_004
Real number (ℝ)

MISSING  ZEROS 

Distinct35188
Distinct (%)59.3%
Missing671
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean445734.3065
Minimum0
Maximum97152378
Zeros1797
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:35:22.067467image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile20
Q12700
median221518
Q3466614
95-th percentile1528982.4
Maximum97152378
Range97152378
Interquartile range (IQR)463914

Descriptive statistics

Standard deviation1168313.931
Coefficient of variation (CV)2.621099417
Kurtosis878.8334792
Mean445734.3065
Median Absolute Deviation (MAD)219610
Skewness16.85391836
Sum2.644497067 × 1010
Variance1.364957441 × 1012
MonotonicityNot monotonic
2023-10-29T14:35:22.470375image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1797
 
3.0%
20 260
 
0.4%
24 230
 
0.4%
22 225
 
0.4%
16 221
 
0.4%
28 216
 
0.4%
18 214
 
0.4%
32 213
 
0.4%
26 210
 
0.4%
50 207
 
0.3%
Other values (35178) 55536
92.6%
(Missing) 671
 
1.1%
ValueCountFrequency (%)
0 1797
3.0%
2 44
 
0.1%
4 43
 
0.1%
6 48
 
0.1%
8 80
 
0.1%
ValueCountFrequency (%)
97152378 1
< 0.1%
27477576 1
< 0.1%
27009152 1
< 0.1%
24545440 1
< 0.1%
23790782 1
< 0.1%

ee_005
Real number (ℝ)

MISSING  ZEROS 

Distinct36288
Distinct (%)61.2%
Missing671
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean393946.198
Minimum0
Maximum57435236
Zeros2814
Zeros (%)4.7%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:35:22.912234image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q13584
median189988
Q3403222
95-th percentile1280452
Maximum57435236
Range57435236
Interquartile range (IQR)399638

Descriptive statistics

Standard deviation1121044.407
Coefficient of variation (CV)2.845678959
Kurtosis390.7778043
Mean393946.198
Median Absolute Deviation (MAD)188028
Skewness14.55577705
Sum2.337243398 × 1010
Variance1.256740562 × 1012
MonotonicityNot monotonic
2023-10-29T14:35:23.237777image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2814
 
4.7%
28 316
 
0.5%
22 304
 
0.5%
20 303
 
0.5%
24 298
 
0.5%
18 292
 
0.5%
26 290
 
0.5%
16 289
 
0.5%
30 257
 
0.4%
12 245
 
0.4%
Other values (36278) 53921
89.9%
(Missing) 671
 
1.1%
ValueCountFrequency (%)
0 2814
4.7%
2 156
 
0.3%
4 154
 
0.3%
6 193
 
0.3%
8 173
 
0.3%
ValueCountFrequency (%)
57435236 1
< 0.1%
47923886 1
< 0.1%
41863984 1
< 0.1%
39040328 1
< 0.1%
37068616 1
< 0.1%

ee_006
Real number (ℝ)

MISSING  ZEROS 

Distinct31795
Distinct (%)53.6%
Missing671
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean333058.2404
Minimum0
Maximum31607814
Zeros4458
Zeros (%)7.4%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:35:23.552515image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1512
median92432
Q3275094
95-th percentile1203516.4
Maximum31607814
Range31607814
Interquartile range (IQR)274582

Descriptive statistics

Standard deviation1069159.697
Coefficient of variation (CV)3.210128341
Kurtosis159.2726504
Mean333058.2404
Median Absolute Deviation (MAD)92412
Skewness10.2967433
Sum1.976001234 × 1010
Variance1.143102457 × 1012
MonotonicityNot monotonic
2023-10-29T14:35:24.021605image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4458
 
7.4%
4 313
 
0.5%
2 307
 
0.5%
8 270
 
0.4%
6 261
 
0.4%
22 255
 
0.4%
14 251
 
0.4%
16 246
 
0.4%
10 242
 
0.4%
12 242
 
0.4%
Other values (31785) 52484
87.5%
(Missing) 671
 
1.1%
ValueCountFrequency (%)
0 4458
7.4%
2 307
 
0.5%
4 313
 
0.5%
6 261
 
0.4%
8 270
 
0.4%
ValueCountFrequency (%)
31607814 1
< 0.1%
29729204 1
< 0.1%
28276990 1
< 0.1%
28114070 1
< 0.1%
26809754 1
< 0.1%

ee_007
Real number (ℝ)

MISSING  ZEROS 

Distinct30469
Distinct (%)51.4%
Missing671
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean346271.4298
Minimum0
Maximum119580108
Zeros7898
Zeros (%)13.2%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:35:24.391638image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1110
median41098
Q3167814
95-th percentile982724.8
Maximum119580108
Range119580108
Interquartile range (IQR)167704

Descriptive statistics

Standard deviation1728056.007
Coefficient of variation (CV)4.990466605
Kurtosis531.2984682
Mean346271.4298
Median Absolute Deviation (MAD)41098
Skewness15.71724984
Sum2.054393766 × 1010
Variance2.986177563 × 1012
MonotonicityNot monotonic
2023-10-29T14:35:24.968453image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7898
 
13.2%
2 420
 
0.7%
4 327
 
0.5%
6 321
 
0.5%
8 273
 
0.5%
12 226
 
0.4%
10 221
 
0.4%
36 197
 
0.3%
14 188
 
0.3%
18 176
 
0.3%
Other values (30459) 49082
81.8%
(Missing) 671
 
1.1%
ValueCountFrequency (%)
0 7898
13.2%
2 420
 
0.7%
4 327
 
0.5%
6 321
 
0.5%
8 273
 
0.5%
ValueCountFrequency (%)
119580108 1
< 0.1%
53246022 1
< 0.1%
43829682 1
< 0.1%
43042628 1
< 0.1%
37278556 1
< 0.1%

ee_008
Real number (ℝ)

MISSING  ZEROS 

Distinct24213
Distinct (%)40.8%
Missing671
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean138729.9832
Minimum0
Maximum19267396
Zeros17280
Zeros (%)28.8%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:35:25.574359image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3812
Q3139724
95-th percentile564329.6
Maximum19267396
Range19267396
Interquartile range (IQR)139724

Descriptive statistics

Standard deviation449510.0453
Coefficient of variation (CV)3.240179484
Kurtosis295.8280179
Mean138729.9832
Median Absolute Deviation (MAD)3812
Skewness13.42626452
Sum8230711172
Variance2.020592808 × 1011
MonotonicityNot monotonic
2023-10-29T14:35:26.684631image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17280
28.8%
2 299
 
0.5%
4 238
 
0.4%
10 217
 
0.4%
6 197
 
0.3%
8 195
 
0.3%
12 176
 
0.3%
20 173
 
0.3%
14 166
 
0.3%
18 146
 
0.2%
Other values (24203) 40242
67.1%
(Missing) 671
 
1.1%
ValueCountFrequency (%)
0 17280
28.8%
2 299
 
0.5%
4 238
 
0.4%
6 197
 
0.3%
8 195
 
0.3%
ValueCountFrequency (%)
19267396 1
< 0.1%
14560586 2
< 0.1%
14045640 2
< 0.1%
13951536 1
< 0.1%
13949742 1
< 0.1%

ee_009
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct9724
Distinct (%)16.4%
Missing671
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean8388.914629
Minimum0
Maximum3810078
Zeros31863
Zeros (%)53.1%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:35:27.207806image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32028
95-th percentile37014.8
Maximum3810078
Range3810078
Interquartile range (IQR)2028

Descriptive statistics

Standard deviation47470.43245
Coefficient of variation (CV)5.658709685
Kurtosis1523.741461
Mean8388.914629
Median Absolute Deviation (MAD)0
Skewness29.2141353
Sum497705916
Variance2253441957
MonotonicityNot monotonic
2023-10-29T14:35:27.644779image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31863
53.1%
2 301
 
0.5%
10 290
 
0.5%
8 275
 
0.5%
6 258
 
0.4%
4 249
 
0.4%
12 214
 
0.4%
14 214
 
0.4%
16 173
 
0.3%
20 167
 
0.3%
Other values (9714) 25325
42.2%
(Missing) 671
 
1.1%
ValueCountFrequency (%)
0 31863
53.1%
2 301
 
0.5%
4 249
 
0.4%
6 258
 
0.4%
8 275
 
0.5%
ValueCountFrequency (%)
3810078 1
< 0.1%
2708070 2
< 0.1%
2646880 1
< 0.1%
2528010 1
< 0.1%
1695086 1
< 0.1%

ef_000
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct28
Distinct (%)< 0.1%
Missing2724
Missing (%)4.5%
Infinite0
Infinite (%)0.0%
Mean0.09057895104
Minimum0
Maximum482
Zeros57021
Zeros (%)95.0%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:35:28.040703image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum482
Range482
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.368855443
Coefficient of variation (CV)48.23256831
Kurtosis6112.475505
Mean0.09057895104
Median Absolute Deviation (MAD)0
Skewness73.43243972
Sum5188
Variance19.08689789
MonotonicityNot monotonic
2023-10-29T14:35:28.397512image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0 57021
95.0%
2 132
 
0.2%
4 52
 
0.1%
6 13
 
< 0.1%
8 11
 
< 0.1%
12 6
 
< 0.1%
10 6
 
< 0.1%
84 6
 
< 0.1%
20 3
 
< 0.1%
26 2
 
< 0.1%
Other values (18) 24
 
< 0.1%
(Missing) 2724
 
4.5%
ValueCountFrequency (%)
0 57021
95.0%
2 132
 
0.2%
4 52
 
0.1%
6 13
 
< 0.1%
8 11
 
< 0.1%
ValueCountFrequency (%)
482 1
< 0.1%
362 1
< 0.1%
350 2
< 0.1%
320 1
< 0.1%
276 1
< 0.1%

eg_000
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct49
Distinct (%)0.1%
Missing2723
Missing (%)4.5%
Infinite0
Infinite (%)0.0%
Mean0.2127555563
Minimum0
Maximum1146
Zeros56794
Zeros (%)94.7%
Negative0
Negative (%)0.0%
Memory size468.9 KiB
2023-10-29T14:35:28.759272image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1146
Range1146
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.83064125
Coefficient of variation (CV)41.50604291
Kurtosis9444.29785
Mean0.2127555563
Median Absolute Deviation (MAD)0
Skewness89.02948161
Sum12186
Variance77.98022489
MonotonicityNot monotonic
2023-10-29T14:35:29.134853image/svg+xmlMatplotlib v3.7.3, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0 56794
94.7%
2 178
 
0.3%
4 79
 
0.1%
6 55
 
0.1%
8 29
 
< 0.1%
10 24
 
< 0.1%
14 14
 
< 0.1%
12 12
 
< 0.1%
26 11
 
< 0.1%
32 6
 
< 0.1%
Other values (39) 75
 
0.1%
(Missing) 2723
 
4.5%
ValueCountFrequency (%)
0 56794
94.7%
2 178
 
0.3%
4 79
 
0.1%
6 55
 
0.1%
8 29
 
< 0.1%
ValueCountFrequency (%)
1146 1
< 0.1%
910 1
< 0.1%
892 1
< 0.1%
606 1
< 0.1%
430 2
< 0.1%